Embedded newform data - 588.6.a.n.1.2

Formats: - HTML - YAML - JSON - 2025-05-11T19:26:46.062712

• 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': 21168, 'analytic_conductor': 94.3056860500326, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [7, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [588, 1, [295, 197, 493], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 71560568444, 'field_disc_factorization': [[2, 2], [3229, 1], [5540459, 1]], 'field_poly': [59664, -686, -699, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [10763676, 82500, -8977, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480332, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 504, 'hecke_ring_index_factorization': [[2, 3], [3, 2], [7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '588.6.a.n', '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': '84.6.i.c', 'prim_orbit_index': 1, 'qexp_display': 'q-9q^{3}-\\beta _{2}q^{5}+3^{4}q^{9}+(116+\\beta _{1}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '588.6.a', 'trace_display': [0, -36, 0, 0], 'trace_hash': 985587827081326106, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.722', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.176', 'prec': 17}, {'__RealLiteral__': 0, 'data': '37.526', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.371', 'prec': 17}, {'__RealLiteral__': 0, 'data': '566.041', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [4, 0, -36, 0, 0, 0, 0, 0, 324, 0, 462, 0, -602, 0, 0, 0, -228, 0, -358, 0, 0, 0, 2148, 0, 5454, 0, -2916, 0, -5532, 0, -830, 0, -4158, 0, 0, 0, 3914, 0, 5418, 0, -8316, 0, -14518, 0, 0, 0, -41700, 0, 0, 0, 2052, 0, -22164, 0, 3892, 0, 3222, 0, -32886, 0, -83732, 0, 0, 0, 93192, 0, 80034, 0, -19332, 0, 44772, 0, 22470, 0, -49086, 0, 0, 0, 75286, 0, 26244, 0, -17418, 0, 139252, 0, 49788, 0, -28944, 0, 0, 0, 7470, 0, 144120, 0, -216678, 0, 37422, 0, 273852, 0, -120562, 0, 0, 0, 245622, 0, -80898, 0, -35226, 0, 493476, 0, 578908, 0, -48762, 0, 0, 0, 320238, 0, 74844, 0, -247500, 0, 801346, 0, 130662, 0, -21426, 0, 0, 0, 0, 0, -297504, 0, -169794, 0, 375300, 0, 1291728, 0, 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0, 0, 351595494, 0, -108422916, 0, 392814144, 0, 25679754, 0, -1362126552, 0], 'weight': 6, '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

  
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[-0.6866122164498999, 0.0], [0.0, 0.0], [-0.09084220417077611, 0.0], [0.0, 0.0], [-0.6105650263117778, 0.0], [0.0, 0.0], [0.6572105323924972, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2165551427688683, 0.0], [0.0, 0.0], [-0.4103894364244032, 0.0], [0.0, 0.0], [-0.4037546592321477, 0.0], [0.0, 0.0], [0.899441448158768, 0.0], [0.0, 0.0], [0.4469897643123407, 0.0], [0.0, 0.0], [-0.3347081057038261, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6251144679873818, 0.0], [0.0, 0.0], [-0.15637792893117422, 0.0], [0.0, 0.0], [-0.6594447970146493, 0.0], [0.0, 0.0], [0.44886812031654605, 0.0], [0.0, 0.0], [0.27256748561427613, 0.0], [0.0, 0.0], [0.8626180081222214, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.07223082781561735, 0.0], [0.0, 0.0], [-0.5485400817219391, 0.0], [0.0, 0.0], [-0.20243739905724464, 0.0], [0.0, 0.0], [-0.21700307876890748, 0.0], [0.0, 0.0], [-1.5919731240200121, 0.0], [0.0, 0.0], [-2.4000516099738918, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.41803281380170887, 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-0.2962876454608185, -0.2905318129488774, -0.3316084943846664, -0.34757757876563966, -0.06386604021683183, -0.18226519303803623, -0.27245480028770697, -0.2216928064202413, -0.2732187925343104, -0.17053626931963578, -0.1284099575173238, -0.222097788738806, -0.4344808521421942, -0.3337125704203408, -0.14828199297532604, -0.19353824477626333, -0.20170749863206794, -0.3471968977389826, -0.11913774325850902, -0.14676026124423155, -0.22779811165074607, -0.22345474740883955, -0.28905188762812906, -0.14691153353469563, -0.19960344301464805, -0.12371559075989388, -0.236731835491341, -0.451805438702457, -0.19157746045794263, -0.22167482839904043, -0.3095638839371548, -0.160333057932277, -0.2026415923065145, -0.14706759862719232, -0.1141100065898475, -0.10712333963454417, -0.13854723428179744, -0.2008978900130186, -0.277023585696836, -0.05835213327513448, -0.3390622924117416, -0.37621795780325296, -0.19214650262604369, -0.4146131308772173, -0.224408554175207, -0.1689138132090054, 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-0.21027559334684703, -0.10663623551841153, -0.27291284350836437, -0.17549321503117346, -0.18058354915703514, -0.21956082839156782, -0.09204594713289797, -0.30710016605892715, -0.40648979705865157, -0.2886977603353068, -0.35454145978307927, -0.15976231264473015, -0.14919756851106042, -0.3978373046768577, -0.05771297546683893, -0.04026774267581805, -0.10628595456368115, -0.10189867281386016, -0.1410529586637491, -0.2013108526244471, -0.23921557020320067, -0.24507015302755092, -0.23986004325706603, -0.22010385380188, -0.3635084018677615, -0.1821134376416601, -0.27729312174273174, -0.14205685739436494, -0.1494566266730615, -0.22591256228149356, -0.26194885327510775, -0.34341020957448015, -0.2887324150938003, -0.1332470139220965, -0.12227525900367028, -0.18574489844990216, -0.36967402809778943, -0.24161994065713452, -0.2545927914049829, -0.23852975379252075, -0.24366443376952626, -0.3048575037274113, -0.23290427141035158, -0.30577341267905694, -0.2993754482687885, -0.19671071478413124, -0.14593037751603768, -0.3005928029349824, -0.303477575229617, -0.21397333026077917, -0.1790259401482707, -0.2640108184760777, -0.18481513250434883, -0.2798630724194075, -0.28849909401277163, -0.22015113551014295, -0.2545155835880629, -0.15611280467338365, -0.39347944629610665, -0.378722747794002, -0.19241130509443316, -0.14207347482489063, -0.3153789737139655, -0.3168318210489524, -0.10520143202496499], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 26.294122187218193, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480332, 'label': '588.6.a.n.1.2', 'level': 588, 'weight': 6}
• 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

  
  {'ALdims': [0, 0, 0, 0, 8, 9, 7, 10], 'Nk2': 21168, 'analytic_conductor': 94.3056860500326, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [588, 1, [295, 197, 493], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 536, 'dim': 34, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663884, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4], 'label': '588.6.a', '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': 584, 'mf_new_dim': 34, 'num_forms': 16, 'plus_dim': 16, 'prim_orbit_index': 1, 'relative_dim': 34, 'sturm_bound': 672, 'trace_bound': 11, 'trace_display': [0, 0, -44, 0], 'traces': [34, 0, 0, 0, -44, 0, 0, 0, 2754, 0, 356, 0, 396, 0, 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0, -35866656, 0, 0, 0, -4347612, 0, -63743288, 0, -30754776, 0, 18068994, 0, -10777904, 0, 28892988, 0, 0, 0, 13834748, 0, -27675794, 0, 11528640, 0, -22364628, 0, -5137560, 0, 10325232, 0, 0, 0, 1367126, 0, -11454984, 0, 9972064, 0, 18179132, 0, -5697504, 0, -25610548, 0, 0, 0, 23187384, 0, 4362040, 0, 17280324, 0, 11201724, 0, 20669620, 0, -11891832, 0, 0, 0, 113792100, 0, -2126376, 0, 3913272, 0, 11297152, 0, -58496784, 0, 27378216, 0, 0, 0, 10755140, 0, -27779472, 0, -44825292, 0, -84641648, 0, -12094596, 0, 7271432, 0, 0, 0, -35537148, 0, -11282100, 0, -15167088, 0, 16469568, 0, 22667360, 0, -11574432, 0, 0, 0, 33328100, 0, 70414800, 0, 26642664, 0, 65319708, 0, 17871660, 0, -13063680, 0, 0, 0, -94619848, 0, -4567914, 0, 16305128, 0, 61630878, 0, -17956440, 0, -88372, 0, 0, 0, 119214, 0, 161339520, 0, -672084, 0, 6656580, 0, -30411540, 0, 40545240, 0, 0, 0, 2248188, 0, -55546776, 0, -12685104, 0, -136010980, 0, -15955872, 0, -8830620, 0, 0, 0, -6246820, 0, 8735040, 0, -17033076, 0, 64633658, 0, 24959808, 0, -83663928, 0, 0, 0, 2335716, 0, 99519628, 0, 51258888, 0, -72943200, 0, 24609552, 0, -15529512, 0, 0, 0, -13466356, 0, -41682294, 0, 4156596, 0, 25032448, 0, 47390208, 0, 1314360, 0, 0, 0, 93460146, 0, 101695050, 0, 138907176, 0, 14094526, 0, 923400, 0, 49215276, 0, 0, 0, -19013652, 0, 15215952, 0, 74445780, 0, 50569074, 0, 7061620, 0, -31031832, 0, 0, 0, -334251004, 0, -29612938, 0, -25445232, 0, -25735824, 0, -35513880, 0, -66329856, 0, 0, 0, 261230320, 0, 1214352, 0, 16866008, 0, -61048310, 0, 79670448, 0, 70818192, 0, 0, 0, 67319298, 0, -69491308, 0, 6631368, 0, -23751306, 0, -8700192, 0, -80522328, 0, 0, 0, 45051600, 0, 94384958, 0, 10476432, 0, 16926176, 0, 4448556, 0, -8817984, 0], 'weight': 6, '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: 47705300
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795256480332, 'target_is_minimal': False, 'target_label': '588.6.a.n.1.2', 'target_level': 588, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47705301
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 25, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007749111218260, 'target_is_minimal': True, 'target_label': '84.6.i.c.25.3', 'target_level': 84, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47705302
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 373, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050944639664716, 'target_is_minimal': False, 'target_label': '588.6.i.o.373.2', 'target_level': 588, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47705303
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 37, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007749111218260, 'target_is_minimal': True, 'target_label': '84.6.i.c.37.3', 'target_level': 84, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 47705304
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 361, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050944639664716, 'target_is_minimal': False, 'target_label': '588.6.i.o.361.2', 'target_level': 588, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 47705305
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 67553994511221324, 'target_is_minimal': False, 'target_label': '588.6.a.p.1.3', 'target_level': 588, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 47705306
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518685432283388, 'target_is_minimal': False, 'target_label': '252.6.k.f.109.2', 'target_level': 252, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47705307
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 37, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518685432283388, 'target_is_minimal': False, 'target_label': '252.6.k.f.37.2', 'target_level': 252, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47705308
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 289, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029896631255376, 'target_is_minimal': False, 'target_label': '336.6.q.i.289.3', 'target_level': 336, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47705309
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480332, 'source_is_minimal': False, 'source_label': '588.6.a.n.1.2', 'source_level': 588, 'target_conrey_index': 193, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029896631255376, 'target_is_minimal': False, 'target_label': '336.6.q.i.193.3', 'target_level': 336, 'twist_class_label': '84.6.i.c.25.3', 'twist_class_level': 84, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1090475
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 58546795256480332, 'p': 2}
  • id: 1090476
    {'charpoly_factorization': [[[9, 1], 4]], 'hecke_orbit_code': 58546795256480332, 'p': 3}
  • id: 1090477
    {'charpoly_factorization': [[[10763676, 82500, -8977, 0, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 5}
  • id: 1090478
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 58546795256480332, 'p': 7}
  • id: 1090479
    {'charpoly_factorization': [[[-16028038332, 173087076, -375499, -462, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 11}
  • id: 1090480
    {'charpoly_factorization': [[[755795447424, -524570364, -1649999, 602, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 13}
  • id: 1090481
    {'charpoly_factorization': [[[-15241024512, 376181376, -1810144, 228, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 17}
  • id: 1090482
    {'charpoly_factorization': [[[865904533024, 126640300, -2539119, 358, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 19}
  • id: 1090483
    {'charpoly_factorization': [[[-13518157473792, 25414698624, -8892544, -2148, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 23}
  • id: 1090484
    {'charpoly_factorization': [[[-333378202056336, -209001060264, -25333909, 5532, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 29}
  • id: 1090485
    {'charpoly_factorization': [[[100222024781907, -288524003262, -83261012, 830, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 31}
  • id: 1090486
    {'charpoly_factorization': [[[4014541305517696, 105048527476, -195521367, -3914, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 37}
  • id: 1090487
    {'charpoly_factorization': [[[-15183573038258688, -4683718967328, -331705692, 8316, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 41}
  • id: 1090488
    {'charpoly_factorization': [[[-359515701753932, -808429867700, -34227939, 14518, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 43}
  • id: 1090489
    {'charpoly_factorization': [[[-76658470187172624, -6820863325200, 284024448, 41700, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 47}
  • id: 1090490
    {'charpoly_factorization': [[[-297816521843317392, -36961147492848, -1060281261, 22164, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 53}
  • id: 1090491
    {'charpoly_factorization': [[[127898167122221328, -17253212501376, -694424503, 32886, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 59}
  • id: 1090492
    {'charpoly_factorization': [[[-62341839889352784, 1713875329968, 1760461840, 83732, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 61}
  • id: 1090493
    {'charpoly_factorization': [[[-568852087453607204, 45854895766776, 709795933, -80034, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 67}
  • id: 1090494
    {'charpoly_factorization': [[[419909597575926192, 22791022825104, -1613214448, -44772, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 71}
  • id: 1090495
    {'charpoly_factorization': [[[1448710775440911700, 125400145468380, -4559500763, -22470, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 73}
  • id: 1090496
    {'charpoly_factorization': [[[-1857775228708186269, 172947506491974, -2050339220, -75286, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 79}
  • id: 1090497
    {'charpoly_factorization': [[[533388455771927508, 46412554631820, -4093369579, 17418, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 83}
  • id: 1090498
    {'charpoly_factorization': [[[113797506432572928, -349175530734912, -17350983972, 28944, 1], 1]], 'hecke_orbit_code': 58546795256480332, 'p': 89}
  • id: 1090499
    {'charpoly_factorization': [[[-37014257103217414172, -607146557165436, 9253638277, 216678, 1], 1]], 'hecke_orbit_code': 58546795256480332, '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': 1, 'hecke_orbit': 14, 'label': '588.6.a.n', 'level': 588, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59152669
    {'hecke_orbit_code': 58546795256480332, 'n': 1, 'trace_an': 4}
  • id: 59152670
    {'hecke_orbit_code': 58546795256480332, 'n': 2, 'trace_an': 0}
  • id: 59152671
    {'hecke_orbit_code': 58546795256480332, 'n': 3, 'trace_an': -36}
  • id: 59152672
    {'hecke_orbit_code': 58546795256480332, 'n': 4, 'trace_an': 0}
  • id: 59152673
    {'hecke_orbit_code': 58546795256480332, 'n': 5, 'trace_an': 0}
  • id: 59152674
    {'hecke_orbit_code': 58546795256480332, 'n': 6, 'trace_an': 0}
  • id: 59152675
    {'hecke_orbit_code': 58546795256480332, 'n': 7, 'trace_an': 0}
  • id: 59152676
    {'hecke_orbit_code': 58546795256480332, 'n': 8, 'trace_an': 0}
  • id: 59152677
    {'hecke_orbit_code': 58546795256480332, 'n': 9, 'trace_an': 324}
  • id: 59152678
    {'hecke_orbit_code': 58546795256480332, 'n': 10, 'trace_an': 0}
  • id: 59152679
    {'hecke_orbit_code': 58546795256480332, 'n': 11, 'trace_an': 462}
  • id: 59152680
    {'hecke_orbit_code': 58546795256480332, 'n': 12, 'trace_an': 0}
  • id: 59152681
    {'hecke_orbit_code': 58546795256480332, 'n': 13, 'trace_an': -602}
  • id: 59152682
    {'hecke_orbit_code': 58546795256480332, 'n': 14, 'trace_an': 0}
  • id: 59152683
    {'hecke_orbit_code': 58546795256480332, 'n': 15, 'trace_an': 0}
  • id: 59152684
    {'hecke_orbit_code': 58546795256480332, 'n': 16, 'trace_an': 0}
  • id: 59152685
    {'hecke_orbit_code': 58546795256480332, 'n': 17, 'trace_an': -228}
  • id: 59152686
    {'hecke_orbit_code': 58546795256480332, 'n': 18, 'trace_an': 0}
  • id: 59152687
    {'hecke_orbit_code': 58546795256480332, 'n': 19, 'trace_an': -358}
  • id: 59152688
    {'hecke_orbit_code': 58546795256480332, 'n': 20, 'trace_an': 0}
  • id: 59152689
    {'hecke_orbit_code': 58546795256480332, 'n': 21, 'trace_an': 0}
  • id: 59152690
    {'hecke_orbit_code': 58546795256480332, 'n': 22, 'trace_an': 0}
  • id: 59152691
    {'hecke_orbit_code': 58546795256480332, 'n': 23, 'trace_an': 2148}
  • id: 59152692
    {'hecke_orbit_code': 58546795256480332, 'n': 24, 'trace_an': 0}
  • id: 59152693
    {'hecke_orbit_code': 58546795256480332, 'n': 25, 'trace_an': 5454}
  • id: 59152694
    {'hecke_orbit_code': 58546795256480332, 'n': 26, 'trace_an': 0}
  • id: 59152695
    {'hecke_orbit_code': 58546795256480332, 'n': 27, 'trace_an': -2916}
  • id: 59152696
    {'hecke_orbit_code': 58546795256480332, 'n': 28, 'trace_an': 0}
  • id: 59152697
    {'hecke_orbit_code': 58546795256480332, 'n': 29, 'trace_an': -5532}
  • id: 59152698
    {'hecke_orbit_code': 58546795256480332, 'n': 30, 'trace_an': 0}
  • id: 59152699
    {'hecke_orbit_code': 58546795256480332, 'n': 31, 'trace_an': -830}
  • id: 59152700
    {'hecke_orbit_code': 58546795256480332, 'n': 32, 'trace_an': 0}
  • id: 59152701
    {'hecke_orbit_code': 58546795256480332, 'n': 33, 'trace_an': -4158}
  • id: 59152702
    {'hecke_orbit_code': 58546795256480332, 'n': 34, 'trace_an': 0}
  • id: 59152703
    {'hecke_orbit_code': 58546795256480332, 'n': 35, 'trace_an': 0}
  • id: 59152704
    {'hecke_orbit_code': 58546795256480332, 'n': 36, 'trace_an': 0}
  • id: 59152705
    {'hecke_orbit_code': 58546795256480332, 'n': 37, 'trace_an': 3914}
  • id: 59152706
    {'hecke_orbit_code': 58546795256480332, 'n': 38, 'trace_an': 0}
  • id: 59152707
    {'hecke_orbit_code': 58546795256480332, 'n': 39, 'trace_an': 5418}
  • id: 59152708
    {'hecke_orbit_code': 58546795256480332, 'n': 40, 'trace_an': 0}
  • id: 59152709
    {'hecke_orbit_code': 58546795256480332, 'n': 41, 'trace_an': -8316}
  • id: 59152710
    {'hecke_orbit_code': 58546795256480332, 'n': 42, 'trace_an': 0}
  • id: 59152711
    {'hecke_orbit_code': 58546795256480332, 'n': 43, 'trace_an': -14518}
  • id: 59152712
    {'hecke_orbit_code': 58546795256480332, 'n': 44, 'trace_an': 0}
  • id: 59152713
    {'hecke_orbit_code': 58546795256480332, 'n': 45, 'trace_an': 0}
  • id: 59152714
    {'hecke_orbit_code': 58546795256480332, 'n': 46, 'trace_an': 0}
  • id: 59152715
    {'hecke_orbit_code': 58546795256480332, 'n': 47, 'trace_an': -41700}
  • id: 59152716
    {'hecke_orbit_code': 58546795256480332, 'n': 48, 'trace_an': 0}
  • id: 59152717
    {'hecke_orbit_code': 58546795256480332, 'n': 49, 'trace_an': 0}
  • id: 59152718
    {'hecke_orbit_code': 58546795256480332, 'n': 50, 'trace_an': 0}
  • id: 59152719
    {'hecke_orbit_code': 58546795256480332, 'n': 51, 'trace_an': 2052}
  • id: 59152720
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  • id: 59152910
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  • id: 59152911
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  • id: 59152912
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  • id: 59152913
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  • id: 59152914
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  • id: 59152915
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  • id: 59152916
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  • id: 59152917
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  • id: 59152918
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  • id: 59152919
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  • id: 59152920
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  • id: 59152921
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  • id: 59152922
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  • id: 59152923
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  • id: 59152924
    {'hecke_orbit_code': 58546795256480332, 'n': 983, 'trace_an': -51775464}
  • id: 59152925
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  • id: 59152926
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