Embedded newform data - 220.3.x.a.37.9

Formats: - HTML - YAML - JSON - 2024-12-27T12:43:55.611883

• 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': 1980, 'analytic_conductor': 5.994565815926532, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 55, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 20, 'char_parity': -1, 'char_values': [220, 20, [111, 177, 101], [20, 5, 4]], 'cm_discs': [], 'conrey_index': 37, 'dim': 96, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1580598296796, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 11, 3, 1, 5, 0], [1, 1, 55, 11, -1, 20, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '220.3.x.a', 'level': 220, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '220.3.x.a', 'prim_orbit_index': 11, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '2.2.3.c20', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '220.3.x', 'trace_display': [0, -2, 4, -2], 'traces': [96, 0, -2, 0, 4, 0, -2, 0, 0, 0, -20, 0, -8, 0, 88, 0, 42, 0, 0, 0, 56, 0, -104, 0, -126, 0, -14, 0, 0, 0, -32, 0, 52, 0, 56, 0, -134, 0, 0, 0, 24, 0, 332, 0, 344, 0, 258, 0, 0, 0, -320, 0, 222, 0, -46, 0, 504, 0, 0, 0, -168, 0, -298, 0, -416, 0, -632, 0, 0, 0, -252, 0, 56, 0, -352, 0, -820, 0, 0, 0, 336, 0, 236, 0, 88, 0, -176, 0, 0, 0, -756, 0, -770, 0, -334, 0, -310, 0, 0, 0, -432, 0, -632, 0, -544, 0, -588, 0, 0, 0, 1696, 0, 378, 0, 826, 0, 992, 0, 0, 0, 544, 0, -286, 0, 772, 0, 672, 0, 0, 0, 1848, 0, -468, 0, -384, 0, 1034, 0, 0, 0, 744, 0, 1052, 0, 924, 0, 178, 0, 0, 0, 608, 0, 900, 0, 296, 0, 1394, 0, 0, 0, -916, 0, 702, 0, -1168, 0, 910, 0, 0, 0, -2012, 0, 680, 0, -1080, 0, -1812, 0, 0, 0, -1056, 0, 112, 0, -1074, 0, -1292, 0, 0, 0, -1000, 0, 584, 0, -480, 0, -140, 0, 0, 0, -2204, 0, -1992, 0, 1748, 0, -1672, 0, 0, 0, -1708, 0, -1250, 0, 394, 0, -2016, 0, 0, 0, 864, 0, -1422, 0, 2266, 0, 888, 0, 0, 0, 3608, 0, -1326, 0, 722, 0, -960, 0, 0, 0, 1024, 0, 2012, 0, 1904, 0, 3412, 0, 0, 0, 1568, 0, 1828, 0, 914, 0, 2402, 0, 0, 0, 3820, 0, 1424, 0, -3168, 0, 3272, 0, 0, 0, -2088, 0, 506, 0, -2406, 0, 2712, 0, 0, 0, -520, 0, 1796, 0, -2616, 0, -2440, 0, 0, 0, -4052, 0, -1618, 0, -992, 0, -7856, 0, 0, 0, -3252, 0, -3604, 0, -2928, 0, -5372, 0, 0, 0, -3848, 0, -2026, 0, 2032, 0, -4400, 0, 0, 0, -4888, 0, -1080, 0, 420, 0, -2092, 0, 0, 0, 3416, 0, -4786, 0, 2432, 0, 2860, 0, 0, 0, 5520, 0, -3008, 0, 658, 0, 2882, 0, 0, 0, 9392, 0, 5576, 0, 5448, 0, 9604, 0, 0, 0, 4640, 0, 6356, 0, 4172, 0, 3786, 0, 0, 0, -236, 0, 2060, 0, -5028, 0, 4496, 0, 0, 0, -2600, 0, 4102, 0, -3354, 0, 5754, 0, 0, 0, -1472, 0, 4264, 0, -1152, 0, -2944, 0, 0, 0, -9032, 0, -2258, 0, -1926, 0, -5082, 0, 0, 0, -3588, 0, -242, 0, -1478, 0, -5156, 0, 0, 0, -3860, 0, -4686, 0, 5414, 0, -4362, 0, 0, 0, -3240, 0, -1076, 0, 3992, 0, -3122, 0, 0, 0, 7568, 0, -6372, 0, 2878, 0, 4448, 0, 0, 0, 8056, 0, -4648, 0, 1144, 0, -52, 0, 0, 0, 5568, 0, 4084, 0, 7068, 0, 6452, 0, 0, 0, 4092, 0, 4666, 0, 1994, 0, 6816, 0, 0, 0, 3936, 0, 4912, 0, -8716, 0, 6632, 0, 0, 0, -7248, 0, 950, 0, -10546, 0, 7410, 0, 0, 0, 1004, 0, 1080, 0, -5448, 0, -9080, 0, 0, 0, -11980, 0, -8852, 0, -3540, 0, -13322, 0, 0, 0, -6584, 0, -3622, 0, -6028, 0, -13384, 0, 0, 0, -13468, 0, -5700, 0, 896, 0, -10360, 0, 0, 0, -8192, 0, -90, 0, 732, 0, -4176, 0, 0, 0, 7720, 0, -5152, 0, 9540, 0, 4442, 0, 0, 0, 18056, 0, -2730, 0, 1158, 0, 3488, 0, 0, 0, 15728, 0, 10464, 0, 5052, 0, 13204, 0, 0, 0, 10820, 0, 8080, 0, 8844, 0, 2314, 0, 0, 0, 10272, 0, 5012, 0, -3452, 0, 11132, 0, 0, 0, -4400, 0, 8630, 0, -5850, 0, 7564, 0, 0, 0, -4104, 0, 3142, 0, -10720, 0, -7908, 0, 0, 0, -19120, 0, -2564, 0, -470, 0, -17004, 0, 0, 0, -4580, 0, -1780, 0, -5352, 0, -7628, 0, 0, 0, -9588, 0, -9030, 0, 7732, 0, -3072, 0, 0, 0, -14472, 0, -3306, 0, 5554, 0, -7910, 0, 0, 0, 9008, 0, -9010, 0, 8312, 0, 8610, 0, 0, 0, 9012, 0, -6740, 0, 9546, 0, 5554, 0, 0, 0, -776, 0, 1812, 0, 6180, 0, 17412, 0, 0, 0, 2868, 0, 10572, 0, 7004, 0, 3036, 0, 0, 0, 5936, 0, 8984, 0, -8920, 0, 16706, 0, 0, 0, -10360, 0, 4594, 0, -10552, 0, 13250, 0, 0, 0, -644, 0, 4302, 0, -8124, 0, -12772, 0, 0, 0, -11552, 0, -5726, 0, -13440, 0, -14822, 0, 0, 0, -6048, 0, 6, 0, -3808, 0, -20900, 0, 0, 0, -9316, 0, -12330, 0, -1666, 0, -11750, 0, 0, 0, -8480, 0, -7074, 0, 380, 0, -9996, 0, 0, 0, 20112, 0, -3336, 0, 12226, 0, 7992, 0, 0, 0, 25000, 0, -11234, 0, 3266, 0, 5340, 0, 0, 0, 23768, 0, 5812, 0, 9840, 0, 14888, 0, 0, 0, 17276, 0, 14570, 0, 6806, 0, 13446, 0, 0, 0, 10520, 0, 20256, 0, -328, 0, 15214, 0, 0, 0, -5220, 0, 10404, 0, -7672, 0, 11618, 0, 0, 0, -6116, 0, 9548, 0, -3108, 0, -15880, 0, 0, 0, -14216, 0, 4570, 0, -4452, 0, -15118, 0, 0, 0, -4360, 0, 258, 0, 1990, 0, -11884, 0, 0, 0, -26160, 0, -14296, 0, 8676, 0, -8142, 0, 0, 0, -11980, 0, -10598, 0, -3936, 0, -9764, 0, 0, 0, 8752, 0, -8626, 0, 12072, 0, 11570, 0, 0, 0, 21428, 0, -11126, 0, 6060, 0, 6906, 0, 0, 0, 5840, 0, -796, 0, 2958, 0, 12876, 0, 0, 0, 6232, 0, 1790, 0, 1780, 0, 4726, 0, 0, 0, 15780, 0, -4300, 0, -9520, 0, 19380, 0, 0, 0, -15164, 0, 2616, 0, -23200, 0, 10836, 0, 0, 0, -6588, 0, -3274, 0, -28388, 0, -21092, 0, 0, 0, -21232, 0, -10986, 0, -11994, 0, -31156, 0, 0, 0, -9860, 0, -2720, 0, -5474, 0, -19752, 0, 0, 0, -15652, 0, -8644, 0, -1522, 0, -12082, 0, 0, 0, -22360, 0, -7672, 0, 2260, 0, -14018, 0, 0, 0, 19264, 0, -8048, 0, 18604, 0, 3282, 0, 0, 0], 'weight': 3, '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], [0.0, 0.0], [0.44997470526116606, 0.8831250837571483], [0.0, 0.0], [-0.6230773145121665, 0.782160252211979], [0.0, 0.0], [-0.5118103759651456, 1.0044844206957355], [0.0, 0.0], [0.010352574106276222, -0.01424909583021661], [0.0, 0.0], [-0.5625695403492209, -0.8267499696227791], [0.0, 0.0], [-1.1556502792949894, 0.18303702269703095], [0.0, 0.0], [-0.9711143691987473, -0.19830287660965148], [0.0, 0.0], [0.12743022597259285, 0.020182965021098308], [0.0, 0.0], [1.0225852714445893, 0.33225809577002], [0.0, 0.0], [-1.1173871112341949, 0.0], [0.0, 0.0], [-1.1549682034788389, 1.1549682034788389], [0.0, 0.0], [-0.22354932028061342, -0.9746926189327976], [0.0, 0.0], [0.9961938270061873, 0.1577816017451329], [0.0, 0.0], [0.26001493122234887, -0.08448397246878563], [0.0, 0.0], [0.6142167634782855, 0.4462546000807844], [0.0, 0.0], [0.4769815730617863, -0.8688358463458142], [0.0, 0.0], [-0.466770353238555, -1.0261891880660143], [0.0, 0.0], [-0.6245222374000814, 1.2256939040429815], [0.0, 0.0], [-0.6816579798107216, -0.9382217193563815], [0.0, 0.0], [-0.41090104528798044, 1.2646233824909208], [0.0, 0.0], [-0.8727068873647241, 0.8727068873647241], [0.0, 0.0], [0.004694622315928102, 0.01697566033812609], [0.0, 0.0], [1.3656163736714189, -0.6958162966318815], [0.0, 0.0], [-0.15925383818239058, -0.21919410363988426], [0.0, 0.0], [0.03951629569865622, 0.12161865272190353], [0.0, 0.0], [0.6176904169919829, -0.09783255098910465], [0.0, 0.0], [0.9971752831835354, 0.07510961727925271], [0.0, 0.0], [0.16671204746679905, 1.0525784422080802], [0.0, 0.0], [1.1538151070797806, -0.3748972541013006], [0.0, 0.0], [-0.7067500883001311, 0.5134839958215892], [0.0, 0.0], [0.009014439924912888, 0.017691834497879096], [0.0, 0.0], [0.5768951887015178, -1.0179499304805815], [0.0, 0.0], [0.04327743195541706, 0.04327743195541706], [0.0, 0.0], [-1.5396878683805015, -0.5002749144876836], [0.0, 0.0], [0.623078104268515, -0.45269274102003465], [0.0, 0.0], [0.028563611489302337, 0.014553886983271005], [0.0, 0.0], [0.760183961227898, -0.63600903612119], [0.0, 0.0], [1.1183863922494282, -0.14195312605694613], [0.0, 0.0], [0.6655084962050026, -0.9159938620965242], [0.0, 0.0], [0.30347846313540633, 0.9340106698790871], [0.0, 0.0], [0.11825020618104132, -0.7466024183861857], [0.0, 0.0], [-0.09518519599796949, 0.08709531004191379], [0.0, 0.0], [0.19161005730291172, 0.19161005730291172], [0.0, 0.0], [0.0, -0.4046519893558787], [0.0, 0.0], [0.40761596622049473, -1.2545129487266007], [0.0, 0.0], [-0.11771662396074653, 0.7432335128345959], [0.0, 0.0], [-0.8970287607783403, 0.5928030717840448], [0.0, 0.0], [0.012870362037080538, 0.08126026780603342], [0.0, 0.0], [-0.017604482401182713, -0.0005428830362844781], [0.0, 0.0], [-1.480032699940514, -1.0753066993453808], [0.0, 0.0], [1.464173847530475, 0.7460338378009527], [0.0, 0.0], [0.6962185605383097, -0.8739757847413526], [0.0, 0.0], [0.38111692747640974, -0.1941887737823533], [0.0, 0.0], [0.0, 1.9083044104305718], [0.0, 0.0], [-1.3634602413717298, 0.0], [0.0, 0.0], [0.1700470516536652, 0.3337361300056603], [0.0, 0.0], [-0.18373573475928853, -1.6230047079003613], [0.0, 0.0], [-0.009355843080452666, 0.01836187591755407], [0.0, 0.0], [-0.08549358579149643, 0.11767182579966688], [0.0, 0.0], [-0.36703102454253256, 0.9302087007888385], [0.0, 0.0], [-1.3017157073285066, 0.2061715137668834], [0.0, 0.0], [0.9016543347950962, 0.4324574667469769], [0.0, 0.0], [0.7067206433001729, 0.11193355355489414], [0.0, 0.0], [-1.1634053674207436, -0.3780133185780808], [0.0, 0.0], [-1.3526655174299442, 0.0], [0.0, 0.0], [-0.8571178330854925, 0.8571178330854925], [0.0, 0.0], [-0.7441162718799962, 0.6808730782883905], [0.0, 0.0], [0.6875915438496906, 0.1089038018445171], [0.0, 0.0], [-0.47372177705186375, 0.15392153589860413], [0.0, 0.0], [1.2289856504852381, 0.8929103413858579], [0.0, 0.0], [0.8014594993820453, 0.8524627795761301], [0.0, 0.0], [-0.09592939986503156, 0.25601339086892355], [0.0, 0.0], [0.12191561223821519, -0.23927286136381343], [0.0, 0.0], [-0.6147149300660943, -0.8460825159866742], [0.0, 0.0], [0.048340506080867596, -0.14877677974380643], [0.0, 0.0], [0.001606819860484332, -0.001606819860484332], [0.0, 0.0], [-0.7317471420663468, 0.2023648208279653], [0.0, 0.0], [-0.17940306114298069, 0.09141042536955372], [0.0, 0.0], [0.3643434431150428, 0.5014757279457623], [0.0, 0.0], [-0.5690228563431425, -1.751272277243729], [0.0, 0.0], [-1.3960739466327443, 0.22111639068909375], [0.0, 0.0], [0.3823724670935238, 0.9144279333795285], [0.0, 0.0], [-0.07558353241336933, -0.4772156422594009], [0.0, 0.0], [0.3509685000616402, -0.1140365784273469], [0.0, 0.0], [0.015320767249609001, -0.011131188968512664], [0.0, 0.0], [-0.23976825631377446, -0.4705716987280654], [0.0, 0.0], [1.093478412344694, 0.27430598626745006], [0.0, 0.0], [0.850268781662641, 0.850268781662641], [0.0, 0.0], [0.3183585466008546, 0.10344096225469922], [0.0, 0.0], [-0.9331427831818102, 0.6779679166828707], [0.0, 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-0.23739341654728396, -0.06720316842802675, 0.2074313884900001, -0.3331681785701271, -0.1284977134936445, -0.1868698151495656, -0.32687769192244837], 'char_orbit_index': 24, 'conrey_index': 37, 'dual_conrey_index': 113, 'dual_embedding_index': 9, 'dual_embedding_m': 57, 'embedding_index': 9, 'embedding_m': 9, 'hecke_orbit': 1, 'hecke_orbit_code': 1580598296796, 'label': '220.3.x.a.37.9', 'level': 220, 'weight': 3}
• 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': 1980, 'analytic_conductor': 5.994565815926532, 'char_conductor': 55, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 20, 'char_parity': -1, 'char_values': [220, 20, [111, 177, 101], [20, 5, 4]], 'conrey_index': 37, 'cusp_dim': 528, 'dim': 96, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1580598296796, 'hecke_orbit_dims': [96], 'label': '220.3.x', 'level': 220, '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, 5, 11], 'level_radical': 110, 'mf_dim': 624, 'mf_new_dim': 96, 'num_forms': 1, 'prim_orbit_index': 11, 'relative_dim': 12, 'sturm_bound': 108, 'trace_bound': 0, 'trace_display': [0, -2, 4, -2], 'traces': [96, 0, -2, 0, 4, 0, -2, 0, 0, 0, -20, 0, -8, 0, 88, 0, 42, 0, 0, 0, 56, 0, -104, 0, -126, 0, -14, 0, 0, 0, -32, 0, 52, 0, 56, 0, -134, 0, 0, 0, 24, 0, 332, 0, 344, 0, 258, 0, 0, 0, -320, 0, 222, 0, -46, 0, 504, 0, 0, 0, -168, 0, -298, 0, -416, 0, -632, 0, 0, 0, -252, 0, 56, 0, -352, 0, -820, 0, 0, 0, 336, 0, 236, 0, 88, 0, -176, 0, 0, 0, -756, 0, -770, 0, -334, 0, -310, 0, 0, 0, -432, 0, -632, 0, -544, 0, -588, 0, 0, 0, 1696, 0, 378, 0, 826, 0, 992, 0, 0, 0, 544, 0, -286, 0, 772, 0, 672, 0, 0, 0, 1848, 0, -468, 0, -384, 0, 1034, 0, 0, 0, 744, 0, 1052, 0, 924, 0, 178, 0, 0, 0, 608, 0, 900, 0, 296, 0, 1394, 0, 0, 0, -916, 0, 702, 0, -1168, 0, 910, 0, 0, 0, -2012, 0, 680, 0, -1080, 0, -1812, 0, 0, 0, -1056, 0, 112, 0, -1074, 0, -1292, 0, 0, 0, -1000, 0, 584, 0, -480, 0, -140, 0, 0, 0, -2204, 0, -1992, 0, 1748, 0, -1672, 0, 0, 0, -1708, 0, -1250, 0, 394, 0, -2016, 0, 0, 0, 864, 0, -1422, 0, 2266, 0, 888, 0, 0, 0, 3608, 0, -1326, 0, 722, 0, -960, 0, 0, 0, 1024, 0, 2012, 0, 1904, 0, 3412, 0, 0, 0, 1568, 0, 1828, 0, 914, 0, 2402, 0, 0, 0, 3820, 0, 1424, 0, -3168, 0, 3272, 0, 0, 0, -2088, 0, 506, 0, -2406, 0, 2712, 0, 0, 0, -520, 0, 1796, 0, -2616, 0, -2440, 0, 0, 0, -4052, 0, -1618, 0, -992, 0, -7856, 0, 0, 0, -3252, 0, -3604, 0, -2928, 0, -5372, 0, 0, 0, -3848, 0, -2026, 0, 2032, 0, -4400, 0, 0, 0, -4888, 0, -1080, 0, 420, 0, -2092, 0, 0, 0, 3416, 0, -4786, 0, 2432, 0, 2860, 0, 0, 0, 5520, 0, -3008, 0, 658, 0, 2882, 0, 0, 0, 9392, 0, 5576, 0, 5448, 0, 9604, 0, 0, 0, 4640, 0, 6356, 0, 4172, 0, 3786, 0, 0, 0, -236, 0, 2060, 0, -5028, 0, 4496, 0, 0, 0, -2600, 0, 4102, 0, -3354, 0, 5754, 0, 0, 0, -1472, 0, 4264, 0, -1152, 0, -2944, 0, 0, 0, -9032, 0, -2258, 0, -1926, 0, -5082, 0, 0, 0, -3588, 0, -242, 0, -1478, 0, -5156, 0, 0, 0, -3860, 0, -4686, 0, 5414, 0, -4362, 0, 0, 0, -3240, 0, -1076, 0, 3992, 0, -3122, 0, 0, 0, 7568, 0, -6372, 0, 2878, 0, 4448, 0, 0, 0, 8056, 0, -4648, 0, 1144, 0, -52, 0, 0, 0, 5568, 0, 4084, 0, 7068, 0, 6452, 0, 0, 0, 4092, 0, 4666, 0, 1994, 0, 6816, 0, 0, 0, 3936, 0, 4912, 0, -8716, 0, 6632, 0, 0, 0, -7248, 0, 950, 0, -10546, 0, 7410, 0, 0, 0, 1004, 0, 1080, 0, -5448, 0, -9080, 0, 0, 0, -11980, 0, -8852, 0, -3540, 0, -13322, 0, 0, 0, -6584, 0, -3622, 0, -6028, 0, -13384, 0, 0, 0, -13468, 0, -5700, 0, 896, 0, -10360, 0, 0, 0, -8192, 0, -90, 0, 732, 0, -4176, 0, 0, 0, 7720, 0, -5152, 0, 9540, 0, 4442, 0, 0, 0, 18056, 0, -2730, 0, 1158, 0, 3488, 0, 0, 0, 15728, 0, 10464, 0, 5052, 0, 13204, 0, 0, 0, 10820, 0, 8080, 0, 8844, 0, 2314, 0, 0, 0, 10272, 0, 5012, 0, -3452, 0, 11132, 0, 0, 0, -4400, 0, 8630, 0, -5850, 0, 7564, 0, 0, 0, -4104, 0, 3142, 0, -10720, 0, -7908, 0, 0, 0, -19120, 0, -2564, 0, -470, 0, -17004, 0, 0, 0, -4580, 0, -1780, 0, -5352, 0, -7628, 0, 0, 0, -9588, 0, -9030, 0, 7732, 0, -3072, 0, 0, 0, -14472, 0, -3306, 0, 5554, 0, -7910, 0, 0, 0, 9008, 0, -9010, 0, 8312, 0, 8610, 0, 0, 0, 9012, 0, -6740, 0, 9546, 0, 5554, 0, 0, 0, -776, 0, 1812, 0, 6180, 0, 17412, 0, 0, 0, 2868, 0, 10572, 0, 7004, 0, 3036, 0, 0, 0, 5936, 0, 8984, 0, -8920, 0, 16706, 0, 0, 0, -10360, 0, 4594, 0, -10552, 0, 13250, 0, 0, 0, -644, 0, 4302, 0, -8124, 0, -12772, 0, 0, 0, -11552, 0, -5726, 0, -13440, 0, -14822, 0, 0, 0, -6048, 0, 6, 0, -3808, 0, -20900, 0, 0, 0, -9316, 0, -12330, 0, -1666, 0, -11750, 0, 0, 0, -8480, 0, -7074, 0, 380, 0, -9996, 0, 0, 0, 20112, 0, -3336, 0, 12226, 0, 7992, 0, 0, 0, 25000, 0, -11234, 0, 3266, 0, 5340, 0, 0, 0, 23768, 0, 5812, 0, 9840, 0, 14888, 0, 0, 0, 17276, 0, 14570, 0, 6806, 0, 13446, 0, 0, 0, 10520, 0, 20256, 0, -328, 0, 15214, 0, 0, 0, -5220, 0, 10404, 0, -7672, 0, 11618, 0, 0, 0, -6116, 0, 9548, 0, -3108, 0, -15880, 0, 0, 0, -14216, 0, 4570, 0, -4452, 0, -15118, 0, 0, 0, -4360, 0, 258, 0, 1990, 0, -11884, 0, 0, 0, -26160, 0, -14296, 0, 8676, 0, -8142, 0, 0, 0, -11980, 0, -10598, 0, -3936, 0, -9764, 0, 0, 0, 8752, 0, -8626, 0, 12072, 0, 11570, 0, 0, 0, 21428, 0, -11126, 0, 6060, 0, 6906, 0, 0, 0, 5840, 0, -796, 0, 2958, 0, 12876, 0, 0, 0, 6232, 0, 1790, 0, 1780, 0, 4726, 0, 0, 0, 15780, 0, -4300, 0, -9520, 0, 19380, 0, 0, 0, -15164, 0, 2616, 0, -23200, 0, 10836, 0, 0, 0, -6588, 0, -3274, 0, -28388, 0, -21092, 0, 0, 0, -21232, 0, -10986, 0, -11994, 0, -31156, 0, 0, 0, -9860, 0, -2720, 0, -5474, 0, -19752, 0, 0, 0, -15652, 0, -8644, 0, -1522, 0, -12082, 0, 0, 0, -22360, 0, -7672, 0, 2260, 0, -14018, 0, 0, 0, 19264, 0, -8048, 0, 18604, 0, 3282, 0, 0, 0], 'weight': 3, '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: 19018993
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 96, 'source_embedding_index': 9, 'source_hecke_orbit_code': 1580598296796, 'source_is_minimal': True, 'source_label': '220.3.x.a.37.9', 'source_level': 220, 'target_conrey_index': 37, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1580598296796, 'target_is_minimal': True, 'target_label': '220.3.x.a.37.9', 'target_level': 220, 'twist_class_label': '220.3.x.a.37.9', 'twist_class_level': 220, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 19018994
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 96, 'source_embedding_index': 9, 'source_hecke_orbit_code': 1580598296796, 'source_is_minimal': True, 'source_label': '220.3.x.a.37.9', 'source_level': 220, 'target_conrey_index': 213, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1580598296796, 'target_is_minimal': True, 'target_label': '220.3.x.a.213.4', 'target_level': 220, 'twist_class_label': '220.3.x.a.37.9', 'twist_class_level': 220, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 19018995
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 96, 'source_embedding_index': 9, 'source_hecke_orbit_code': 1580598296796, 'source_is_minimal': True, 'source_label': '220.3.x.a.37.9', 'source_level': 220, 'target_conrey_index': 157, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1580598296796, 'target_is_minimal': True, 'target_label': '220.3.x.a.157.4', 'target_level': 220, 'twist_class_label': '220.3.x.a.37.9', 'twist_class_level': 220, 'twisting_char_label': '11.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 19018996
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 96, 'source_embedding_index': 9, 'source_hecke_orbit_code': 1580598296796, 'source_is_minimal': True, 'source_label': '220.3.x.a.37.9', 'source_level': 220, 'target_conrey_index': 113, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1580598296796, 'target_is_minimal': True, 'target_label': '220.3.x.a.113.9', 'target_level': 220, 'twist_class_label': '220.3.x.a.37.9', 'twist_class_level': 220, 'twisting_char_label': '55.3', 'twisting_conrey_index': 3, 'weight': 3}
• hecke_orbit_code 1580598296796 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 24, 'hecke_orbit': 1, 'label': '220.3.x.a', 'level': 220, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13369368
    {'hecke_orbit_code': 1580598296796, 'n': 1, 'trace_an': 96}
  • id: 13369369
    {'hecke_orbit_code': 1580598296796, 'n': 2, 'trace_an': 0}
  • id: 13369370
    {'hecke_orbit_code': 1580598296796, 'n': 3, 'trace_an': -2}
  • id: 13369371
    {'hecke_orbit_code': 1580598296796, 'n': 4, 'trace_an': 0}
  • id: 13369372
    {'hecke_orbit_code': 1580598296796, 'n': 5, 'trace_an': 4}
  • id: 13369373
    {'hecke_orbit_code': 1580598296796, 'n': 6, 'trace_an': 0}
  • id: 13369374
    {'hecke_orbit_code': 1580598296796, 'n': 7, 'trace_an': -2}
  • id: 13369375
    {'hecke_orbit_code': 1580598296796, 'n': 8, 'trace_an': 0}
  • id: 13369376
    {'hecke_orbit_code': 1580598296796, 'n': 9, 'trace_an': 0}
  • id: 13369377
    {'hecke_orbit_code': 1580598296796, 'n': 10, 'trace_an': 0}
  • id: 13369378
    {'hecke_orbit_code': 1580598296796, 'n': 11, 'trace_an': -20}
  • id: 13369379
    {'hecke_orbit_code': 1580598296796, 'n': 12, 'trace_an': 0}
  • id: 13369380
    {'hecke_orbit_code': 1580598296796, 'n': 13, 'trace_an': -8}
  • id: 13369381
    {'hecke_orbit_code': 1580598296796, 'n': 14, 'trace_an': 0}
  • id: 13369382
    {'hecke_orbit_code': 1580598296796, 'n': 15, 'trace_an': 88}
  • id: 13369383
    {'hecke_orbit_code': 1580598296796, 'n': 16, 'trace_an': 0}
  • id: 13369384
    {'hecke_orbit_code': 1580598296796, 'n': 17, 'trace_an': 42}
  • id: 13369385
    {'hecke_orbit_code': 1580598296796, 'n': 18, 'trace_an': 0}
  • id: 13369386
    {'hecke_orbit_code': 1580598296796, 'n': 19, 'trace_an': 0}
  • id: 13369387
    {'hecke_orbit_code': 1580598296796, 'n': 20, 'trace_an': 0}
  • id: 13369388
    {'hecke_orbit_code': 1580598296796, 'n': 21, 'trace_an': 56}
  • id: 13369389
    {'hecke_orbit_code': 1580598296796, 'n': 22, 'trace_an': 0}
  • id: 13369390
    {'hecke_orbit_code': 1580598296796, 'n': 23, 'trace_an': -104}
  • id: 13369391
    {'hecke_orbit_code': 1580598296796, 'n': 24, 'trace_an': 0}
  • id: 13369392
    {'hecke_orbit_code': 1580598296796, 'n': 25, 'trace_an': -126}
  • id: 13369393
    {'hecke_orbit_code': 1580598296796, 'n': 26, 'trace_an': 0}
  • id: 13369394
    {'hecke_orbit_code': 1580598296796, 'n': 27, 'trace_an': -14}
  • id: 13369395
    {'hecke_orbit_code': 1580598296796, 'n': 28, 'trace_an': 0}
  • id: 13369396
    {'hecke_orbit_code': 1580598296796, 'n': 29, 'trace_an': 0}
  • id: 13369397
    {'hecke_orbit_code': 1580598296796, 'n': 30, 'trace_an': 0}
  • id: 13369398
    {'hecke_orbit_code': 1580598296796, 'n': 31, 'trace_an': -32}
  • id: 13369399
    {'hecke_orbit_code': 1580598296796, 'n': 32, 'trace_an': 0}
  • id: 13369400
    {'hecke_orbit_code': 1580598296796, 'n': 33, 'trace_an': 52}
  • id: 13369401
    {'hecke_orbit_code': 1580598296796, 'n': 34, 'trace_an': 0}
  • id: 13369402
    {'hecke_orbit_code': 1580598296796, 'n': 35, 'trace_an': 56}
  • id: 13369403
    {'hecke_orbit_code': 1580598296796, 'n': 36, 'trace_an': 0}
  • id: 13369404
    {'hecke_orbit_code': 1580598296796, 'n': 37, 'trace_an': -134}
  • id: 13369405
    {'hecke_orbit_code': 1580598296796, 'n': 38, 'trace_an': 0}
  • id: 13369406
    {'hecke_orbit_code': 1580598296796, 'n': 39, 'trace_an': 0}
  • id: 13369407
    {'hecke_orbit_code': 1580598296796, 'n': 40, 'trace_an': 0}
  • id: 13369408
    {'hecke_orbit_code': 1580598296796, 'n': 41, 'trace_an': 24}
  • id: 13369409
    {'hecke_orbit_code': 1580598296796, 'n': 42, 'trace_an': 0}
  • id: 13369410
    {'hecke_orbit_code': 1580598296796, 'n': 43, 'trace_an': 332}
  • id: 13369411
    {'hecke_orbit_code': 1580598296796, 'n': 44, 'trace_an': 0}
  • id: 13369412
    {'hecke_orbit_code': 1580598296796, 'n': 45, 'trace_an': 344}
  • id: 13369413
    {'hecke_orbit_code': 1580598296796, 'n': 46, 'trace_an': 0}
  • id: 13369414
    {'hecke_orbit_code': 1580598296796, 'n': 47, 'trace_an': 258}
  • id: 13369415
    {'hecke_orbit_code': 1580598296796, 'n': 48, 'trace_an': 0}
  • id: 13369416
    {'hecke_orbit_code': 1580598296796, 'n': 49, 'trace_an': 0}
  • id: 13369417
    {'hecke_orbit_code': 1580598296796, 'n': 50, 'trace_an': 0}
  • id: 13369418
    {'hecke_orbit_code': 1580598296796, 'n': 51, 'trace_an': -320}
  • id: 13369419
    {'hecke_orbit_code': 1580598296796, 'n': 52, 'trace_an': 0}
  • id: 13369420
    {'hecke_orbit_code': 1580598296796, 'n': 53, 'trace_an': 222}
  • id: 13369421
    {'hecke_orbit_code': 1580598296796, 'n': 54, 'trace_an': 0}
  • id: 13369422
    {'hecke_orbit_code': 1580598296796, 'n': 55, 'trace_an': -46}
  • id: 13369423
    {'hecke_orbit_code': 1580598296796, 'n': 56, 'trace_an': 0}
  • id: 13369424
    {'hecke_orbit_code': 1580598296796, 'n': 57, 'trace_an': 504}
  • id: 13369425
    {'hecke_orbit_code': 1580598296796, 'n': 58, 'trace_an': 0}
  • id: 13369426
    {'hecke_orbit_code': 1580598296796, 'n': 59, 'trace_an': 0}
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  • id: 13369516
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  • id: 13369517
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  • id: 13369518
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  • id: 13369523
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  • id: 13369524
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  • id: 13369525
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  • id: 13369527
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  • id: 13369531
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  • id: 13369532
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  • id: 13369533
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  • id: 13369534
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  • id: 13369537
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  • id: 13369538
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