Embedded newform data - 588.2.e.b.491.5

Formats: - HTML - YAML - JSON - 2025-01-14T14:05:20.255756

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2352, 'analytic_conductor': 4.695203638851287, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [588, 2, [295, 197, 493], [1, 1, 2]], 'cm_discs': [], 'conrey_index': 491, 'dim': 8, 'field_disc': 3317760000, 'field_disc_factorization': [[2, 16], [3, 4], [5, 4]], 'field_poly': [36, 0, 12, 0, 13, 0, -8, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [6, 0, 1]], [11, [-12, 0, 1]], [13, [-30, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503874538832460, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 28, 4, 1, 2, 0], [1, 1, 84, 8, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '588.2.e.b', 'level': 588, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '588.2.e.b', 'nf_label': '8.0.3317760000.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{6}q^{2}-\\beta _{2}q^{3}+(-1-\\beta _{3})q^{4}+(-\\beta _{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '588.2.e', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1229246350527219998, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.332', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.651', 'prec': 17}, {'__RealLiteral__': 0, 'data': '703.376', 'prec': 24}, {'__RealLiteral__': 0, 'data': '1539.980', 'prec': 27}, {'__RealLiteral__': 0, 'data': '99554.872', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.887', 'prec': 17}, 'traces': [8, 0, 0, -4, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, -28, 0, 20, 0, 0, 0, -24, 0, 0, -8, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -8, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 40, 0, -60, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 60, 0, 0, -8, 0, 0, 0, -96, 0, 0, 72, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 4, 0, 24, 0, 0, 0, -40, 0, 0, 80, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -36, 8, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -56, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 80, 0, 0, -48, 0, 0, 0, 136, 0, 0, 120, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -72, 0, 0, -128, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, -40, 0, -12, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, -120, 0, 84, 0, 0, 0, -80, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, -56, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -180, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 120, 0, 0, -32, 0, 0, 0, -64, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 60, 0, 0, 0, 72, 0, 0, 8, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 24, 208, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 200, 0, -120, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -80, 0, 0, -40, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, -40, 0, 120, 0, 0, 0, -240, 0, 0, 192, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -60, -224, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 48, 0, -12, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, -240, 0, 0, 0, 144, 0, 0, 120, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, -120, 0, 80, 0, 0, 0, -24, 0, 0, -184, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -60, 304, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, -80, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 288, 0, 0, 56, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 120, 0, -36, 0, 0, 0, 120, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, -232, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, -144, 0, 80, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -40, 0, 0, 48, 0, 0, 0, -208, 0, 0, -68, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -60, 80, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, -240, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 48, 0, 0, 120, 0, 0, 0, -304, 0, 0, 216, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 64, 0, -120, 0, 0, 0, 280, 0, 0, 96, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 144, -240, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 48, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, -336, 0, 0, 0, 72, 0, 0, -120, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 360, 0, -120, 0, 0, 0, 144, 0, 0, -48, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 120, 176, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 8, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 168, 0, 0, 120, 0, 0, 0, 16, 0, 0, -200, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -240, 0, 0, 480, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 180, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, -216, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.6123724356957945, -0.7905694150420949], [-0.9128709291752769, -0.408248290463863], [-0.25, -0.9682458365518543], [0.0, 1.0954451150103321], [-0.8817656065588988, 0.4716878364870322], [0.0, 0.0], [-0.9185586535436918, -0.39528470752104744], [0.6666666666666666, 0.7453559924999299], [0.8660254037844386, 0.6708203932499369], [-1.044465935734187, 0.0], [-0.16706697522722821, 0.9859455490991501], [-1.5191090506254998, 0.0], [0.0, 0.0], [0.4472135954999579, -1.0], [-0.875, 0.4841229182759271], [0.0, 1.1881770515720091], [0.9975039414526526, -0.07061081210709146], [0.0, 0.9733285267845753], [1.0606601717798212, -0.27386127875258304], [0.0, 0.0], [-0.6396021490668313, 0.8257228238447705], [0.0, 0.0], [0.6771511854704454, 0.7358439182435161], [-0.2, 0.0], [-0.9302605094190635, 1.2009611535381535], [-0.3042903097250923, -0.9525793444156804], [0.0, 0.0], [0.0, 0.8304547985373997], [-0.5167081362895117, -0.9659258262890683], [0.0, -1.524001524002286], [-0.15309310892394862, 0.9882117688026185], [0.9534625892455924, 0.4264014327112209], [0.9393364366277243, 0.7276068751089989], [0.0, 0.0], [0.5550211698203655, -0.8318362224928852], [-0.3287979746107146, 0.0], [0.7694837640638655, 0.5960395606792697], [1.3867504905630728, 0.6201736729460423], [0.4330127018922193, -1.0062305898749053], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1812488464372366], [0.26111648393354675, 1.0112997936948631], [-0.816496580927726, 0.7302967433402214], [0.0, 0.0], [0.0, 0.0], [0.9964044167888909, -0.08472448408571207], [0.0, 0.0], [-0.1224744871391589, 0.15811388300841897], [0.48507125007266594, -1.0846522890932808], [0.37977726265637496, 1.4708710135363803], [0.0, -0.6142951168339512], [-0.9394190932208691, -0.3427707211709893], [0.0, -1.1441551070947107], [0.0, 0.0], [0.39735970711951313, -0.8885233166386385], [0.6565321642986128, 0.5085476277156078], [-1.2350804543889273, 0.0], [-1.0800492354268436, -0.18301270189221933], [0.7012868733182767, 0.0], [-1.2048289933537484, -0.9332565252573828], [0.0, 0.0], [0.6875, 0.7261843774138906], [0.0, -1.6641005886756874], [0.9209741393527633, -0.4926618775108623], [0.0, -0.9463204468147677], [1.1504474832710556, -0.2970442628930023], [0.0, 0.0], [0.0, 0.0], [-0.411113225896519, 0.0], [-0.3177446102013997, -0.9481763352288226], [-1.2821215295120647, 0.0], [-0.2013468165642073, 0.25993762245501817], [0.18257418583505536, 0.08164965809277261], [0.9424212936563149, -0.24333213169614382], [0.0, 0.0], [1.3394981134539068, -0.7165452614774115], [0.0, 1.7429786813223802], [-0.5303300858899106, -0.9585144756340407], [-0.1111111111111111, 0.9938079899999065], [0.0, 0.0], [-1.041315201750935, 0.0], [0.0, 0.0], [-1.301582746911937, 0.0], [0.9338592095470355, 0.7233642332556182], [0.3390317518104052, -0.7580980435789034], [0.959403223600247, 0.41286141192238524], [0.0, -1.0385815737789972], [0.07735026918962576, 1.0927108198678608], [0.0, 0.0], [0.0, 0.0], [-0.6221710168382552, 1.3912166872805047], [0.0, 0.0], [-1.0662279799663663, 0.0], [0.5431900138236762, -0.8396097956087902], [0.0, 0.0], [0.0, 0.0], [-0.6963106238227914, -0.778498944161523], [0.05, 0.19364916731037085], [0.0, -0.7312000173321488], [-0.5604486628195419, -1.0476936585787566], [0.0, 0.0], [1.3953907641285952, 0.6004805767690767], [0.0, 0.0], [-0.4856429311786321, -0.3761773969316394], [-1.6744367165578427, 0.0], [-0.8462584067845043, 0.5327726615983149], [0.9578262852211514, 0.0], [-0.9045340337332909, -0.7006490497453707], [0.3001501125938321, 0.13423121104280486], [0.0, 0.0], [0.0, -0.42070316191167123], [-0.4591072269901267, -0.8582476188012804], [0.0, 0.0], [0.8040844011283461, -0.20761369963434992], [-1.0127393670836666, -1.1322770341445958], [-0.7563292261344161, 0.976416832356179], [0.0, 0.0], [-0.806076625649922, 0.741781958247055], [0.09090909090909091, 0.0], [0.4294487507354012, -0.5544159532159296], [0.0, 0.0], [-1.4756081305138942, 0.3810003810005715], [0.0, 0.8763560920082658], [0.0, 0.0], [0.0, 0.6873433966234707], [0.9951052080056662, -0.09882117688026186], [0.4822428221704121, -1.0783277320343843], [-1.3155870289605438, -1.0190493307301363], [0.8288684459933064, 0.0], [0.17449576461098715, -1.0297865405228006], [0.0, 0.0], [-0.7481320020807247, -0.5795005569646918], [1.043498389499902, -0.3333333333333333], [0.46966821831386213, -1.0914103126634984], [0.0, -0.7641607199008701], [0.0, 0.0], [0.0, 0.3598560863424403], [0.0, 0.0], [0.0, 0.0], [-0.25175440748900674, 0.3250135425130796], [1.5866576560438352, 0.0], [-0.9441772515768494, -0.3294378812534873], [-0.909717652294684, 0.0], [-0.7851358838853205, 1.0136060675992289], [0.0, 0.0], [0.08219949365267865, 0.31835726998350666], [0.0, -0.36637165272365585], [0.17635312131177977, -0.09433756729740644], [0.0, 0.6303578296313003], [0.38474188203193277, -0.8940593410189046], [-0.8856148855400953, 0.7921180343813394], [0.0, 0.0], [1.6694600247366058, 0.0], [0.25379295412830855, -1.4977588070604473], [0.43713018947193605, 0.0], 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-0.12533019792489505, -0.29839354732894025, 0.024413706081245122, -0.2670306810218582, 0.011895811351810953, 0.04148594590684928, -0.24043154316464116, -0.4570192763339317, 0.17213691832559846, -0.4886026677982521, 0.10348356852127637, -0.1595996569289135, -0.19990391766478827, -0.47995879446940115, 0.1102503577285454, -0.28495933537957013, -0.3627977544594743, -0.32247245560071586, 0.06395605325014149, -0.38054609539939194, -0.3843452565267772, -0.13247805624273762, -0.4681247647008357, -0.25, 0.14590098360864245, -0.45605926848766337, 0.017809003784710484, -0.20635070988896795, -0.3723405918764251, -0.28917816643363053, -0.1665601090434675, -0.3382362607021831, 0.06636082756176243, -0.1172635949586588, 0.15996574461861202, -0.3636430276663358, 0.16341526794675226, 0.05860919924089708, -0.1355961737608319, -0.08304528176388977, -0.4719226359487177, -0.37418962477628703, -0.41294069366243996, -0.1804890438737558, -0.34856384790228934, -0.38866084622916336, 0.07675616603991561, -0.09785260326986536, -0.3447438758638974, 0.07854568251077583, -0.28203267934708925, 0.1139156504426991, -0.41918441717716526, -0.43276202434247607, -0.2813622081192135, -0.37567098157238216, -0.3324870048311318, -0.2141388152779022, -0.4135967817152661, -0.2956195787949522, -0.425693536421612, 0.013586533916251687, 0.0, 0.10607612407660043, -0.4313159235250987, -0.3108295779883251, 0.10492380784103598, -0.17171233882094894, -0.38392753937729396, -0.3335379843378278, -0.4774499907606562, -0.11998668256332246, -0.4610824726869498, -0.430615722732297, -0.21993557206237668, -0.12488932197885744, -0.4490477649430814, -0.20092924311994403, -0.37381544720642834, -0.2909013222126821, 0.022568475280479814, -0.3713194124454593, 0.1739317677623234, -0.31463248929574084, 0.007013205612984156, -0.438291434119459, -0.36800174443248596, 0.06429519691663683, 0.03586905582358387, -0.4080226453692685, 0.0, -0.20131533346833372, -0.08645772996704619, -0.19689324854680712, -0.2953836208576947, 0.05431612168174072, 0.1465702956687467, -0.20237374028027547, -0.18943145591968333, 0.13323438028098544, 0.18286859101605574, -0.4524010560739492, 0.02052421268932241, -0.30594396946579155, 0.08536826980608535, 0.06581212539192188, -0.27863229324970845, 0.03198663695759304, -0.22299696090834484, 0.023137666053708313, 0.060945268145639026, -0.3876744565263463, -0.4030246313480989, -0.2989244698273388, -0.4604321925843316, -0.23617869044546758], 'char_orbit_index': 5, 'conrey_index': 491, 'dual_conrey_index': 491, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': -0.9659258262890683, 'embedding_root_real': 0.5787369787208204, 'hecke_orbit': 2, 'hecke_orbit_code': 4503874538832460, 'label': '588.2.e.b.491.5', 'level': 588, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2352, 'analytic_conductor': 4.695203638851287, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [588, 2, [295, 197, 493], [1, 1, 2]], 'conrey_index': 491, 'cusp_dim': 96, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 20, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 274911461964, 'hecke_orbit_dims': [4, 8, 12, 12, 12, 24], 'label': '588.2.e', 'level': 588, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 128, 'mf_new_dim': 92, 'num_forms': 6, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 224, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 4, 0, 6, 0, 0, 4, -4, 0, 6, 0, 0, 0, -12, 0, 20, 0, 0, 0, -4, 0, -2, -24, 0, 0, 0, 0, -12, 0, 0, 16, -32, 0, 4, 16, 0, 0, -20, 0, 0, 0, 0, -24, -16, 0, -46, 0, 0, 0, 28, 0, -10, 0, 0, -36, 52, 0, 12, 16, 0, 0, -20, 0, 12, 0, 0, 24, 0, 0, 56, -24, 0, 0, 60, 0, -48, 0, 0, -20, -8, 0, 0, -72, 0, 0, 52, 0, 80, 0, 0, 12, 0, 0, 34, 24, 0, 0, -136, 0, 12, 0, 0, 0, 20, 0, -22, -32, 0, 0, 0, 0, -108, 0, 0, 24, -92, 0, -24, -40, 0, 0, -72, 0, 0, 0, 0, 56, 24, 0, -76, 0, 0, 0, 0, 0, -40, 0, 0, 60, 88, 0, -92, -64, 0, 0, -24, 0, 34, 0, 0, -32, 0, 0, 144, 80, 0, 0, 100, 0, -52, 0, 0, 60, 68, 0, 0, 0, 0, 0, -24, 0, 108, 0, 0, -12, -40, 0, 36, -32, 0, 0, -8, 0, 48, 0, 0, 0, 72, 0, -50, 56, 0, 0, 0, 0, -168, 0, 0, -24, -116, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, -96, -196, 0, -114, 0, 0, 0, 40, 0, -20, 0, 0, -112, 56, 0, 24, 0, 0, 0, 4, 0, 12, 0, 0, 0, 0, 0, 108, -104, 0, 0, 164, 0, 0, 0, 0, 24, 112, 0, 0, -88, 0, 0, -12, 0, 124, 0, 0, -56, -20, 0, 44, -16, 0, 0, -72, 0, 48, 0, 0, 0, 88, 0, -8, 48, 0, 0, 0, 0, 36, 0, 0, -104, -56, 0, 128, 48, 0, 0, -48, 0, 0, 0, 0, 160, 80, 0, -126, 0, 0, 0, -12, 0, -56, 0, 0, 132, 228, 0, -144, 24, 0, 0, 84, 0, 12, 0, 0, -32, 0, 0, -20, 160, 0, 0, 88, 0, 72, 0, 0, 4, -56, 0, 0, 112, 0, 0, 240, 0, 84, 0, 0, 108, -68, 0, 36, -80, 0, 0, -244, 0, -60, 0, 0, 0, 16, 0, -48, 120, 0, 0, 0, 0, -108, 0, 0, 80, -152, 0, 192, 0, 0, 0, -112, 0, 0, 0, 0, -136, -104, 0, -114, 0, 0, 0, -8, 0, -52, 0, 0, -84, 152, 0, 0, 128, 0, 0, -96, 0, 68, 0, 0, 64, 0, 0, 216, -184, 0, 0, 64, 0, 156, 0, 0, -192, 88, 0, 0, -216, 0, 0, -196, 0, 108, 0, 0, -144, -120, 0, 14, 104, 0, 0, -120, 0, 180, 0, 0, 0, -144, 0, 28, -24, 0, 0, 0, 0, -248, 0, 0, -24, -60, 0, 48, -136, 0, 0, 128, 0, 0, 0, 0, 128, -104, 0, -64, 0, 0, 0, 132, 0, -40, 0, 0, 116, -40, 0, 0, -48, 0, 0, -184, 0, 2, 0, 0, -104, 0, 0, 168, 80, 0, 0, 104, 0, -48, 0, 0, -72, 116, 0, 0, 168, 0, 0, 228, 0, 32, 0, 0, 120, 128, 0, -4, 16, 0, 0, 120, 0, -172, 0, 0, 0, -40, 0, 44, -64, 0, 0, 0, 0, -60, 0, 0, -32, -52, 0, -84, 192, 0, 0, -112, 0, 0, 0, 0, -200, 400, 0, -40, 0, 0, 0, 28, 0, -56, 0, 0, -108, -32, 0, -72, -80, 0, 0, -136, 0, 44, 0, 0, 112, 0, 0, -164, -136, 0, 0, -8, 0, -324, 0, 0, 192, -188, 0, 0, -96, 0, 0, -32, 0, 52, 0, 0, -60, 80, 0, -6, 184, 0, 0, -156, 0, 180, 0, 0, 0, -96, 0, -88, -216, 0, 0, 0, 0, 156, 0, 0, -88, -40, 0, -264, -168, 0, 0, -140, 0, 0, 0, 0, 232, -244, 0, -28, 0, 0, 0, -84, 0, 28, 0, 0, 408, 216, 0, 224, 80, 0, 0, -120, 0, -44, 0, 0, -40, 0, 0, -72, 304, 0, 0, -12, 0, -196, 0, 0, 168, 8, 0, 0, 112, 0, 0, -172, 0, -4, 0, 0, 12, -112, 0, -8, -112, 0, 0, -192, 0, -84, 0, 0, 0, -176, 0, -20, -144, 0, 0, 0, 0, -48, 0, 0, 208, 16, 0, -252, 376, 0, 0, 216, 0, 0, 0, 0, -184, -8, 0, 44, 0, 0, 0, 12, 0, 54, 0, 0, -296, -96, 0, -240, 176, 0, 0, 104, 0, -40, 0, 0, 136, 0, 0, 204, -368, 0, 0, 0, 0, -60, 0, 0, -288, 136, 0, 0, -128, 0, 0, 336, 0, -100, 0, 0, 60, 80, 0, 34, -72, 0, 0, 444, 0, 48, 0, 0, 0, 352, 0, -28, -80, 0, 0, 0, 0, -156, 0, 0, 112, 48, 0, 60, -144, 0, 0, -112, 0, 0, 0, 0, 176, -8, 0, 36, 0, 0, 0, 28, 0, 20, 0, 0, 156, -488, 0, 312, -240, 0, 0, 408, 0, 80, 0, 0, -80, 0, 0, -24, 160, 0, 0, -132, 0, 240, 0, 0, -72, -260, 0, 0, 512, 0, 0, -120, 0, -48, 0, 0, 60, -16, 0, 4, -160, 0, 0, 52, 0, 144, 0, 0, 0, 496, 0, 130, 360, 0, 0, 0, 0, 396, 0, 0, -8, 16, 0, 240, -360, 0, 0, -168, 0, 0, 0, 0, -344, 28, 0, 124, 0, 0, 0, -72, 0, 12, 0, 0, -288, 104, 0, -304, -128, 0, 0, 536, 0, -52, 0, 0, -88, 0, 0, -432, -160, 0, 0, -140, 0, 408, 0, 0, 192, 84, 0, 0, -88, 0, 0, -20, 0, -136, 0, 0, -180, 36, 0, -68, 184, 0, 0, 24, 0, -372, 0, 0, 0, 48, 0, 56, 72, 0, 0, 0, 0, 184, 0, 0, -224, 96, 0, 372, 192, 0, 0, 344, 0, 0, 0, 0, 240, -12, 0, 130, 0, 0, 0, -20, 0, 52, 0, 0, 172, 244, 0, 120, 112, 0, 0, -216, 0, -24, 0, 0, -8, 0, 0, 60, 352, 0, 0, -48], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 35044988
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.5', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35044989
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.4', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35044990
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.2', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35044991
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.2', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35044992
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.5', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35044993
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.6', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 35044994
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.1', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 35044995
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.6', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 35044996
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.7', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 35044997
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.7', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35044998
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.8', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 35044999
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.3', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 35045000
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.4', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 35045001
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.3', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 35045002
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.8', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35045003
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.7', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 35045004
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.4', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 35045005
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.3', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 35045006
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.1', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 35045007
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.2', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '84.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 35045008
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.6', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '84.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 35045009
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 263, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.263.5', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 35045010
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 275, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008092641493580, 'target_is_minimal': False, 'target_label': '588.2.n.c.275.1', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '84.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 35045011
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 491, 'source_dim': 8, 'source_embedding_index': 5, 'source_hecke_orbit_code': 4503874538832460, 'source_is_minimal': True, 'source_label': '588.2.e.b.491.5', 'source_level': 588, 'target_conrey_index': 491, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4503874538832460, 'target_is_minimal': True, 'target_label': '588.2.e.b.491.8', 'target_level': 588, 'twist_class_label': '588.2.e.b.491.1', 'twist_class_level': 588, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1087650
    {'charpoly_factorization': [[[4, 0, 1, 0, 1], 2]], 'hecke_orbit_code': 4503874538832460, 'p': 2}
  • id: 1087651
    {'charpoly_factorization': [[[9, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 4503874538832460, 'p': 3}
  • id: 1087652
    {'charpoly_factorization': [[[6, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 5}
  • id: 1087653
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 7}
  • id: 1087654
    {'charpoly_factorization': [[[-12, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 11}
  • id: 1087655
    {'charpoly_factorization': [[[-30, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 13}
  • id: 1087656
    {'charpoly_factorization': [[[24, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 17}
  • id: 1087657
    {'charpoly_factorization': [[[18, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 19}
  • id: 1087658
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 23}
  • id: 1087659
    {'charpoly_factorization': [[[20, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 29}
  • id: 1087660
    {'charpoly_factorization': [[[72, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 31}
  • id: 1087661
    {'charpoly_factorization': [[[2, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 37}
  • id: 1087662
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 41}
  • id: 1087663
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 43}
  • id: 1087664
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 47}
  • id: 1087665
    {'charpoly_factorization': [[[20, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 53}
  • id: 1087666
    {'charpoly_factorization': [[[-90, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 59}
  • id: 1087667
    {'charpoly_factorization': [[[-30, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 61}
  • id: 1087668
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 67}
  • id: 1087669
    {'charpoly_factorization': [[[-12, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 71}
  • id: 1087670
    {'charpoly_factorization': [[[-120, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 73}
  • id: 1087671
    {'charpoly_factorization': [[[240, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 79}
  • id: 1087672
    {'charpoly_factorization': [[[-90, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 83}
  • id: 1087673
    {'charpoly_factorization': [[[96, 0, 1], 4]], 'hecke_orbit_code': 4503874538832460, 'p': 89}
  • id: 1087674
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503874538832460, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 5, 'hecke_orbit': 2, 'label': '588.2.e.b', 'level': 588, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 22028533
    {'hecke_orbit_code': 4503874538832460, 'n': 1, 'trace_an': 8}
  • id: 22028534
    {'hecke_orbit_code': 4503874538832460, 'n': 2, 'trace_an': 0}
  • id: 22028535
    {'hecke_orbit_code': 4503874538832460, 'n': 3, 'trace_an': 0}
  • id: 22028536
    {'hecke_orbit_code': 4503874538832460, 'n': 4, 'trace_an': -4}
  • id: 22028537
    {'hecke_orbit_code': 4503874538832460, 'n': 5, 'trace_an': 0}
  • id: 22028538
    {'hecke_orbit_code': 4503874538832460, 'n': 6, 'trace_an': 0}
  • id: 22028539
    {'hecke_orbit_code': 4503874538832460, 'n': 7, 'trace_an': 0}
  • id: 22028540
    {'hecke_orbit_code': 4503874538832460, 'n': 8, 'trace_an': 0}
  • id: 22028541
    {'hecke_orbit_code': 4503874538832460, 'n': 9, 'trace_an': 16}
  • id: 22028542
    {'hecke_orbit_code': 4503874538832460, 'n': 10, 'trace_an': 0}
  • id: 22028543
    {'hecke_orbit_code': 4503874538832460, 'n': 11, 'trace_an': 0}
  • id: 22028544
    {'hecke_orbit_code': 4503874538832460, 'n': 12, 'trace_an': 0}
  • id: 22028545
    {'hecke_orbit_code': 4503874538832460, 'n': 13, 'trace_an': 0}
  • id: 22028546
    {'hecke_orbit_code': 4503874538832460, 'n': 14, 'trace_an': 0}
  • id: 22028547
    {'hecke_orbit_code': 4503874538832460, 'n': 15, 'trace_an': 0}
  • id: 22028548
    {'hecke_orbit_code': 4503874538832460, 'n': 16, 'trace_an': -28}
  • id: 22028549
    {'hecke_orbit_code': 4503874538832460, 'n': 17, 'trace_an': 0}
  • id: 22028550
    {'hecke_orbit_code': 4503874538832460, 'n': 18, 'trace_an': 20}
  • id: 22028551
    {'hecke_orbit_code': 4503874538832460, 'n': 19, 'trace_an': 0}
  • id: 22028552
    {'hecke_orbit_code': 4503874538832460, 'n': 20, 'trace_an': 0}
  • id: 22028553
    {'hecke_orbit_code': 4503874538832460, 'n': 21, 'trace_an': 0}
  • id: 22028554
    {'hecke_orbit_code': 4503874538832460, 'n': 22, 'trace_an': -24}
  • id: 22028555
    {'hecke_orbit_code': 4503874538832460, 'n': 23, 'trace_an': 0}
  • id: 22028556
    {'hecke_orbit_code': 4503874538832460, 'n': 24, 'trace_an': 0}
  • id: 22028557
    {'hecke_orbit_code': 4503874538832460, 'n': 25, 'trace_an': -8}
  • id: 22028558
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  • id: 22028559
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  • id: 22028560
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  • id: 22028561
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  • id: 22028562
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  • id: 22028563
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  • id: 22028564
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  • id: 22028565
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  • id: 22028566
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  • id: 22028567
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  • id: 22028568
    {'hecke_orbit_code': 4503874538832460, 'n': 36, 'trace_an': -8}
  • id: 22028569
    {'hecke_orbit_code': 4503874538832460, 'n': 37, 'trace_an': -16}
  • id: 22028570
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  • id: 22028571
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  • id: 22028572
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  • id: 22028573
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  • id: 22028574
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  • id: 22028575
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  • id: 22028576
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  • id: 22028577
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  • id: 22028578
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  • id: 22028579
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  • id: 22028580
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  • id: 22028581
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  • id: 22028582
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  • id: 22028583
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  • id: 22028584
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  • id: 22028585
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  • id: 22028586
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  • id: 22028587
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  • id: 22028588
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  • id: 22028589
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  • id: 22028590
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  • id: 22028591
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  • id: 22028592
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  • id: 22028593
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  • id: 22028594
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  • id: 22028595
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  • id: 22028596
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  • id: 22028597
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  • id: 22028598
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  • id: 22028599
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  • id: 22028600
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  • id: 22028601
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  • id: 22028602
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  • id: 22028603
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  • id: 22028604
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  • id: 22028605
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  • id: 22028606
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  • id: 22028607
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  • id: 22028608
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  • id: 22028609
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  • id: 22028610
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  • id: 22028611
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  • id: 22028612
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  • id: 22028613
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  • id: 22028614
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  • id: 22028615
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  • id: 22028616
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  • id: 22028617
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  • id: 22028618
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  • id: 22028619
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  • id: 22028620
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  • id: 22028621
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  • id: 22028622
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  • id: 22028623
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  • id: 22028624
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  • id: 22028625
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  • id: 22028626
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  • id: 22028627
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  • id: 22028628
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  • id: 22028629
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  • id: 22028630
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  • id: 22028631
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  • id: 22028632
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  • id: 22028633
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  • id: 22028634
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  • id: 22028635
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  • id: 22028636
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  • id: 22028637
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  • id: 22028638
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  • id: 22028639
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  • id: 22028640
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  • id: 22028641
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  • id: 22028642
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  • id: 22028643
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  • id: 22028644
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  • id: 22028645
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  • id: 22028646
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  • id: 22028647
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  • id: 22028648
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  • id: 22028649
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  • id: 22028650
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  • id: 22028651
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  • id: 22028652
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  • id: 22028653
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  • id: 22028654
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  • id: 22028655
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  • id: 22028656
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  • id: 22028657
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  • id: 22028658
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  • id: 22028659
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  • id: 22028660
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  • id: 22028661
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  • id: 22028662
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  • id: 22028663
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  • id: 22028664
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  • id: 22028665
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  • id: 22028666
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  • id: 22028667
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  • id: 22028668
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  • id: 22028669
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  • id: 22028670
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  • id: 22028671
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  • id: 22028672
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  • id: 22028673
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  • id: 22028674
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  • id: 22028675
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  • id: 22028676
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  • id: 22028677
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  • id: 22028678
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  • id: 22028679
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  • id: 22028680
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  • id: 22028681
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  • id: 22028682
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  • id: 22028683
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  • id: 22028684
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  • id: 22028685
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  • id: 22028686
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  • id: 22028687
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  • id: 22028688
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  • id: 22028689
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  • id: 22028690
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  • id: 22028691
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  • id: 22028692
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  • id: 22028693
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  • id: 22028694
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  • id: 22028695
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  • id: 22028696
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  • id: 22028697
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  • id: 22028698
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  • id: 22028699
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  • id: 22028700
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  • id: 22028701
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  • id: 22028702
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  • id: 22028703
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  • id: 22028704
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  • id: 22028705
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  • id: 22028706
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  • id: 22028707
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  • id: 22028708
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  • id: 22028709
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  • id: 22028710
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  • id: 22028711
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  • id: 22028712
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  • id: 22028713
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  • id: 22028714
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  • id: 22028715
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  • id: 22028716
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  • id: 22028717
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  • id: 22028718
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  • id: 22028719
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  • id: 22028720
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  • id: 22028721
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  • id: 22028722
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  • id: 22028723
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  • id: 22028724
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  • id: 22028725
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  • id: 22028726
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  • id: 22028727
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  • id: 22028728
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  • id: 22028729
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  • id: 22028730
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  • id: 22028731
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  • id: 22028732
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  • id: 22028733
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  • id: 22028734
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  • id: 22028735
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  • id: 22028736
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  • id: 22028737
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  • id: 22028738
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  • id: 22028739
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  • id: 22028740
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  • id: 22028741
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  • id: 22028742
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  • id: 22028743
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  • id: 22028744
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  • id: 22028745
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  • id: 22028746
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  • id: 22028747
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  • id: 22028748
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  • id: 22028749
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  • id: 22028750
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  • id: 22028751
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  • id: 22028752
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  • id: 22028753
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  • id: 22028754
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  • id: 22028755
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  • id: 22028756
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  • id: 22028757
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  • id: 22028758
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  • id: 22028759
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  • id: 22028760
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  • id: 22028761
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  • id: 22028762
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  • id: 22028763
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  • id: 22028764
    {'hecke_orbit_code': 4503874538832460, 'n': 827, 'trace_an': 0}
  • id: 22028765
    {'hecke_orbit_code': 4503874538832460, 'n': 829, 'trace_an': 0}
  • id: 22028766
    {'hecke_orbit_code': 4503874538832460, 'n': 839, 'trace_an': 0}
  • id: 22028767
    {'hecke_orbit_code': 4503874538832460, 'n': 841, 'trace_an': 72}
  • id: 22028768
    {'hecke_orbit_code': 4503874538832460, 'n': 853, 'trace_an': 0}
  • id: 22028769
    {'hecke_orbit_code': 4503874538832460, 'n': 857, 'trace_an': 0}
  • id: 22028770
    {'hecke_orbit_code': 4503874538832460, 'n': 859, 'trace_an': 0}
  • id: 22028771
    {'hecke_orbit_code': 4503874538832460, 'n': 863, 'trace_an': 0}
  • id: 22028772
    {'hecke_orbit_code': 4503874538832460, 'n': 877, 'trace_an': 176}
  • id: 22028773
    {'hecke_orbit_code': 4503874538832460, 'n': 881, 'trace_an': 0}
  • id: 22028774
    {'hecke_orbit_code': 4503874538832460, 'n': 883, 'trace_an': 0}
  • id: 22028775
    {'hecke_orbit_code': 4503874538832460, 'n': 887, 'trace_an': 0}
  • id: 22028776
    {'hecke_orbit_code': 4503874538832460, 'n': 907, 'trace_an': 0}
  • id: 22028777
    {'hecke_orbit_code': 4503874538832460, 'n': 911, 'trace_an': 0}
  • id: 22028778
    {'hecke_orbit_code': 4503874538832460, 'n': 919, 'trace_an': 0}
  • id: 22028779
    {'hecke_orbit_code': 4503874538832460, 'n': 929, 'trace_an': 0}
  • id: 22028780
    {'hecke_orbit_code': 4503874538832460, 'n': 937, 'trace_an': 0}
  • id: 22028781
    {'hecke_orbit_code': 4503874538832460, 'n': 941, 'trace_an': 0}
  • id: 22028782
    {'hecke_orbit_code': 4503874538832460, 'n': 947, 'trace_an': 0}
  • id: 22028783
    {'hecke_orbit_code': 4503874538832460, 'n': 953, 'trace_an': 0}
  • id: 22028784
    {'hecke_orbit_code': 4503874538832460, 'n': 961, 'trace_an': -328}
  • id: 22028785
    {'hecke_orbit_code': 4503874538832460, 'n': 967, 'trace_an': 0}
  • id: 22028786
    {'hecke_orbit_code': 4503874538832460, 'n': 971, 'trace_an': 0}
  • id: 22028787
    {'hecke_orbit_code': 4503874538832460, 'n': 977, 'trace_an': 0}
  • id: 22028788
    {'hecke_orbit_code': 4503874538832460, 'n': 983, 'trace_an': 0}
  • id: 22028789
    {'hecke_orbit_code': 4503874538832460, 'n': 991, 'trace_an': 0}
  • id: 22028790
    {'hecke_orbit_code': 4503874538832460, 'n': 997, 'trace_an': 0}