Embedded newform data - 2400.4.a.u.1.1

Formats: - HTML - YAML - JSON - 2025-06-15T20:25:46.613278

• 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': 38400, 'analytic_conductor': 141.60458401377747, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 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': [2400, 1, [1951, 901, 1601, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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': [[7, [-12, 1]], [11, [-20, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992614521184, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '2400.4.a.u', 'level': 2400, '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, 5], 'level_radical': 30, 'minimal_twist': '480.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}+12q^{7}+9q^{9}+20q^{11}+58q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2400.4.a', 'trace_display': [0, 3, 0, 12], 'trace_hash': 1522630517410658276, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.971', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.833', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, 3, 0, 0, 0, 12, 0, 9, 0, 20, 0, 58, 0, 0, 0, 70, 0, 92, 0, 36, 0, 112, 0, 0, 0, 27, 0, 66, 0, 108, 0, 60, 0, 0, 0, 58, 0, 174, 0, 66, 0, -388, 0, 0, 0, -408, 0, -199, 0, 210, 0, -474, 0, 0, 0, 276, 0, 540, 0, 14, 0, 108, 0, 0, 0, -276, 0, 336, 0, 96, 0, 790, 0, 0, 0, 240, 0, -308, 0, 81, 0, -1036, 0, 0, 0, 198, 0, 1210, 0, 696, 0, 324, 0, 0, 0, -1426, 0, 180, 0, 74, 0, -1436, 0, 0, 0, 84, 0, -250, 0, 174, 0, 654, 0, 0, 0, 522, 0, 840, 0, -931, 0, 198, 0, 0, 0, 2572, 0, -1164, 0, 836, 0, 1104, 0, 0, 0, -1250, 0, 2428, 0, -1224, 0, 1160, 0, 0, 0, -597, 0, 1746, 0, -2092, 0, 630, 0, 0, 0, 2162, 0, -1422, 0, 1344, 0, 932, 0, 0, 0, 3192, 0, 1167, 0, 828, 0, -2282, 0, 0, 0, 1620, 0, 2004, 0, -4226, 0, 42, 0, 0, 0, 1400, 0, 324, 0, -2656, 0, -2162, 0, 0, 0, -3514, 0, 988, 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-130368, 0, -80646, 0, 169604, 0, -6828, 0, 0, 0, 46284, 0, -4212, 0, 93520, 0, 198904, 0, 0, 0, -94776, 0, -2786, 0, -172962, 0, 52140, 0, 0, 0, 4698, 0, 105264, 0], 'weight': 4, '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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-0.31282243363163575, -0.3055259657613472, -0.27467813776010613, -0.15750891043166826, -0.3591556431438921, -0.23016989470670793, -0.31863507304694416, -0.1732901374408639, -0.3143824903076669, -0.1532149148477336, -0.4081271207422831, -0.21693087248303028, -0.14842500673128334, -0.06260433074828423, -0.2995989416417362, -0.15073789329366197, -0.25334513610826753, -0.20716942724533982, -0.23521920265924773, -0.12509435225342339, -0.2444188710428522, -0.30593593513929634, -0.29754707006567294, -0.10266572044853599, -0.1544080974936597, -0.3132996967466969, -0.31460303538790824, -0.15986625473093835, -0.3977047645756213, -0.17540339193334029, -0.1776214071515323, -0.21597261061641787, -0.3709000815941239, -0.11120103975736682, -0.40641872332122236, -0.4322369781706529, -0.28453217432125044, -0.1235951413718104, -0.24634193327237192, -0.17943097182556975, -0.27592364871567515, -0.2192162308039794, -0.17159388574741755, -0.4342355403933343, -0.17375566405843945, -0.391482982059867, -0.06077996467315516, -0.10112574384201557, -0.21793036683034306, -0.20040414775540705, -0.21943153735834098, -0.27147459846421795, -0.3760103818331669, -0.19359350222120955, -0.2766067848618396, -0.15137975593742242, -0.04623995414459199], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 21, 'hecke_orbit_code': 90071992614521184, 'label': '2400.4.a.u.1.1', 'level': 2400, 'weight': 4}
• 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': [14, 14, 13, 16, 13, 16, 14, 14], 'Nk2': 38400, 'analytic_conductor': 141.60458401377747, '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': [2400, 1, [1951, 901, 1601, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1392, 'dim': 114, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67111264, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4], 'label': '2400.4.a', 'level': 2400, '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, 5], 'level_radical': 30, 'mf_dim': 1488, 'mf_new_dim': 114, 'num_forms': 54, 'plus_dim': 60, 'prim_orbit_index': 1, 'relative_dim': 114, 'sturm_bound': 1920, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [114, 0, 0, 0, 0, 0, 0, 0, 1026, 0, 0, 0, -20, 0, 0, 0, -156, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, -24, 0, 0, 0, -372, 0, 0, 0, 1300, 0, 0, 0, 0, 0, 0, 0, 5746, 0, 0, 0, -1356, 0, 0, 0, 168, 0, 0, 0, -1636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1644, 0, 0, 0, -3136, 0, 0, 0, 9234, 0, 0, 0, 0, 0, 0, 0, -2940, 0, 0, 0, -936, 0, 0, 0, -1276, 0, 0, 0, -4348, 0, 0, 0, 0, 0, 0, 0, -3396, 0, 0, 0, 788, 0, 0, 0, -180, 0, 0, 0, 11914, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -2560, 0, 0, 0, 9364, 0, 0, 0, -1680, 0, 0, 0, 0, 0, 0, 0, 500, 0, 0, 0, -1404, 0, 0, 0, 3548, 0, 0, 0, -10752, 0, 0, 0, 0, 0, 0, 0, 8942, 0, 0, 0, 9908, 0, 0, 0, 1272, 0, 0, 0, 11820, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 1220, 0, 0, 0, 25364, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 9632, 0, 0, 0, -6720, 0, 0, 0, 10304, 0, 0, 0, 28616, 0, 0, 0, 0, 0, 0, 0, -12996, 0, 0, 0, 9220, 0, 0, 0, -8520, 0, 0, 0, 6212, 0, 0, 0, 0, 0, 0, 0, -4008, 0, 0, 0, -1248, 0, 0, 0, -3180, 0, 0, 0, -2556, 0, 0, 0, 0, 0, 0, 0, 48692, 0, 0, 0, 2160, 0, 0, 0, 24092, 0, 0, 0, 15076, 0, 0, 0, 0, 0, 0, 0, 49670, 0, 0, 0, -7948, 0, 0, 0, -216, 0, 0, 0, 56752, 0, 0, 0, 0, 0, 0, 0, 19176, 0, 0, 0, -8684, 0, 0, 0, -1404, 0, 0, 0, 9336, 0, 0, 0, 0, 0, 0, 0, -21152, 0, 0, 0, -3348, 0, 0, 0, -31868, 0, 0, 0, 3104, 0, 0, 0, 0, 0, 0, 0, 30284, 0, 0, 0, 2516, 0, 0, 0, 9744, 0, 0, 0, 28714, 0, 0, 0, 0, 0, 0, 0, 11700, 0, 0, 0, -37236, 0, 0, 0, 43576, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 7572, 0, 0, 0, -1560, 0, 0, 0, -49028, 0, 0, 0, 85620, 0, 0, 0, 0, 0, 0, 0, 17988, 0, 0, 0, -24704, 0, 0, 0, -14424, 0, 0, 0, 812, 0, 0, 0, 0, 0, 0, 0, 35184, 0, 0, 0, -3996, 0, 0, 0, 61440, 0, 0, 0, 51714, 0, 0, 0, 0, 0, 0, 0, 106004, 0, 0, 0, -5400, 0, 0, 0, 80628, 0, 0, 0, 5220, 0, 0, 0, 0, 0, 0, 0, -94928, 0, 0, 0, -21856, 0, 0, 0, -12204, 0, 0, 0, -34760, 0, 0, 0, 0, 0, 0, 0, -47736, 0, 0, 0, 87912, 0, 0, 0, -74432, 0, 0, 0, 15216, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 1512, 0, 0, 0, 131104, 0, 0, 0, 54628, 0, 0, 0, 0, 0, 0, 0, 134434, 0, 0, 0, -65640, 0, 0, 0, 66120, 0, 0, 0, 65500, 0, 0, 0, 0, 0, 0, 0, -14724, 0, 0, 0, -80768, 0, 0, 0, -147628, 0, 0, 0, -31152, 0, 0, 0, 0, 0, 0, 0, -155964, 0, 0, 0, 48192, 0, 0, 0, -89340, 0, 0, 0, -11008, 0, 0, 0, 0, 0, 0, 0, 82704, 0, 0, 0, 24084, 0, 0, 0, 49368, 0, 0, 0, -15276, 0, 0, 0, 0, 0, 0, 0, -29616, 0, 0, 0, -33268, 0, 0, 0, 101732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27976, 0, 0, 0, -14664, 0, 0, 0, -134388, 0, 0, 0, 4004, 0, 0, 0, 0, 0, 0, 0, -196928, 0, 0, 0, 71604, 0, 0, 0, -14796, 0, 0, 0, 2812, 0, 0, 0, 0, 0, 0, 0, 57096, 0, 0, 0, 137860, 0, 0, 0, 79332, 0, 0, 0, -18888, 0, 0, 0, 0, 0, 0, 0, 80520, 0, 0, 0, -28224, 0, 0, 0, 204424, 0, 0, 0, 63236, 0, 0, 0, 0, 0, 0, 0, -133508, 0, 0, 0, -39808, 0, 0, 0, -53184, 0, 0, 0, -54656, 0, 0, 0, 0, 0, 0, 0, 83106, 0, 0, 0, 129196, 0, 0, 0, -182368, 0, 0, 0, -118080, 0, 0, 0, 0, 0, 0, 0, 176704, 0, 0, 0, 46824, 0, 0, 0, 159932, 0, 0, 0, -222556, 0, 0, 0, 0, 0, 0, 0, 132100, 0, 0, 0, 43284, 0, 0, 0, 61872, 0, 0, 0, -97408, 0, 0, 0, 0, 0, 0, 0, -83280, 0, 0, 0, -113304, 0, 0, 0, -130252, 0, 0, 0, -26460, 0, 0, 0, 0, 0, 0, 0, -193420, 0, 0, 0, 13992, 0, 0, 0, -195168, 0, 0, 0, 90772, 0, 0, 0, 0, 0, 0, 0, 184172, 0, 0, 0, -32060, 0, 0, 0, -8424, 0, 0, 0, 16110, 0, 0, 0, 0, 0, 0, 0, 11784, 0, 0, 0, -173300, 0, 0, 0, 124660, 0, 0, 0, -73968, 0, 0, 0, 0, 0, 0, 0, -222624, 0, 0, 0, -11484, 0, 0, 0, -223268, 0, 0, 0, -40844, 0, 0, 0, 0, 0, 0, 0, -52288, 0, 0, 0, -49408, 0, 0, 0, -64416, 0, 0, 0, -201928, 0, 0, 0, 0, 0, 0, 0, -39132, 0, 0, 0, 99552, 0, 0, 0, 343872, 0, 0, 0, 87096, 0, 0, 0, 0, 0, 0, 0, 12276, 0, 0, 0, 35280, 0, 0, 0, 68468, 0, 0, 0, 100964, 0, 0, 0, 0, 0, 0, 0, -337688, 0, 0, 0, -24876, 0, 0, 0, -112368, 0, 0, 0, 172290, 0, 0, 0, 0, 0, 0, 0, -65808, 0, 0, 0, 17536, 0, 0, 0, -303100, 0, 0, 0, -30564, 0, 0, 0, 0, 0, 0, 0, 310016, 0, 0, 0, 41928, 0, 0, 0, 69324, 0, 0, 0], 'weight': 4, '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: 48355383
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614521184, 'target_is_minimal': False, 'target_label': '2400.4.a.u.1.1', 'target_level': 2400, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48355384
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694481760, 'target_is_minimal': False, 'target_label': '2400.4.a.b.1.1', 'target_level': 2400, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48355385
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109344, 'target_is_minimal': True, 'target_label': '480.4.a.a.1.1', 'target_level': 480, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48355386
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185760, 'target_is_minimal': False, 'target_label': '1440.4.a.l.1.1', 'target_level': 1440, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48355387
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197458702816, 'target_is_minimal': True, 'target_label': '480.4.a.h.1.1', 'target_level': 480, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48355388
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477667264, 'target_is_minimal': False, 'target_label': '960.4.a.p.1.1', 'target_level': 960, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48355389
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 135107988888224704, 'target_is_minimal': False, 'target_label': '960.4.a.be.1.1', 'target_level': 960, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 48355390
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992614521184, 'source_is_minimal': False, 'source_label': '2400.4.a.u.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594105038240, 'target_is_minimal': False, 'target_label': '1440.4.a.q.1.1', 'target_level': 1440, 'twist_class_label': '480.4.a.a.1.1', 'twist_class_level': 480, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2632925
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 2}
  • id: 2632926
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 3}
  • id: 2632927
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 5}
  • id: 2632928
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 7}
  • id: 2632929
    {'charpoly_factorization': [[[-20, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 11}
  • id: 2632930
    {'charpoly_factorization': [[[-58, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 13}
  • id: 2632931
    {'charpoly_factorization': [[[-70, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 17}
  • id: 2632932
    {'charpoly_factorization': [[[-92, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 19}
  • id: 2632933
    {'charpoly_factorization': [[[-112, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 23}
  • id: 2632934
    {'charpoly_factorization': [[[-66, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 29}
  • id: 2632935
    {'charpoly_factorization': [[[-108, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 31}
  • id: 2632936
    {'charpoly_factorization': [[[-58, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 37}
  • id: 2632937
    {'charpoly_factorization': [[[-66, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 41}
  • id: 2632938
    {'charpoly_factorization': [[[388, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 43}
  • id: 2632939
    {'charpoly_factorization': [[[408, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 47}
  • id: 2632940
    {'charpoly_factorization': [[[474, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 53}
  • id: 2632941
    {'charpoly_factorization': [[[-540, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 59}
  • id: 2632942
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 61}
  • id: 2632943
    {'charpoly_factorization': [[[276, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 67}
  • id: 2632944
    {'charpoly_factorization': [[[-96, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 71}
  • id: 2632945
    {'charpoly_factorization': [[[-790, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 73}
  • id: 2632946
    {'charpoly_factorization': [[[308, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 79}
  • id: 2632947
    {'charpoly_factorization': [[[1036, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 83}
  • id: 2632948
    {'charpoly_factorization': [[[-1210, 1], 1]], 'hecke_orbit_code': 90071992614521184, 'p': 89}
  • id: 2632949
    {'charpoly_factorization': [[[1426, 1], 1]], 'hecke_orbit_code': 90071992614521184, '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': 21, 'label': '2400.4.a.u', 'level': 2400, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 64713859
    {'hecke_orbit_code': 90071992614521184, 'n': 1, 'trace_an': 1}
  • id: 64713860
    {'hecke_orbit_code': 90071992614521184, 'n': 2, 'trace_an': 0}
  • id: 64713861
    {'hecke_orbit_code': 90071992614521184, 'n': 3, 'trace_an': 3}
  • id: 64713862
    {'hecke_orbit_code': 90071992614521184, 'n': 4, 'trace_an': 0}
  • id: 64713863
    {'hecke_orbit_code': 90071992614521184, 'n': 5, 'trace_an': 0}
  • id: 64713864
    {'hecke_orbit_code': 90071992614521184, 'n': 6, 'trace_an': 0}
  • id: 64713865
    {'hecke_orbit_code': 90071992614521184, 'n': 7, 'trace_an': 12}
  • id: 64713866
    {'hecke_orbit_code': 90071992614521184, 'n': 8, 'trace_an': 0}
  • id: 64713867
    {'hecke_orbit_code': 90071992614521184, 'n': 9, 'trace_an': 9}
  • id: 64713868
    {'hecke_orbit_code': 90071992614521184, 'n': 10, 'trace_an': 0}
  • id: 64713869
    {'hecke_orbit_code': 90071992614521184, 'n': 11, 'trace_an': 20}
  • id: 64713870
    {'hecke_orbit_code': 90071992614521184, 'n': 12, 'trace_an': 0}
  • id: 64713871
    {'hecke_orbit_code': 90071992614521184, 'n': 13, 'trace_an': 58}
  • id: 64713872
    {'hecke_orbit_code': 90071992614521184, 'n': 14, 'trace_an': 0}
  • id: 64713873
    {'hecke_orbit_code': 90071992614521184, 'n': 15, 'trace_an': 0}
  • id: 64713874
    {'hecke_orbit_code': 90071992614521184, 'n': 16, 'trace_an': 0}
  • id: 64713875
    {'hecke_orbit_code': 90071992614521184, 'n': 17, 'trace_an': 70}
  • id: 64713876
    {'hecke_orbit_code': 90071992614521184, 'n': 18, 'trace_an': 0}
  • id: 64713877
    {'hecke_orbit_code': 90071992614521184, 'n': 19, 'trace_an': 92}
  • id: 64713878
    {'hecke_orbit_code': 90071992614521184, 'n': 20, 'trace_an': 0}
  • id: 64713879
    {'hecke_orbit_code': 90071992614521184, 'n': 21, 'trace_an': 36}
  • id: 64713880
    {'hecke_orbit_code': 90071992614521184, 'n': 22, 'trace_an': 0}
  • id: 64713881
    {'hecke_orbit_code': 90071992614521184, 'n': 23, 'trace_an': 112}
  • id: 64713882
    {'hecke_orbit_code': 90071992614521184, 'n': 24, 'trace_an': 0}
  • id: 64713883
    {'hecke_orbit_code': 90071992614521184, 'n': 25, 'trace_an': 0}
  • id: 64713884
    {'hecke_orbit_code': 90071992614521184, 'n': 26, 'trace_an': 0}
  • id: 64713885
    {'hecke_orbit_code': 90071992614521184, 'n': 27, 'trace_an': 27}
  • id: 64713886
    {'hecke_orbit_code': 90071992614521184, 'n': 28, 'trace_an': 0}
  • id: 64713887
    {'hecke_orbit_code': 90071992614521184, 'n': 29, 'trace_an': 66}
  • id: 64713888
    {'hecke_orbit_code': 90071992614521184, 'n': 30, 'trace_an': 0}
  • id: 64713889
    {'hecke_orbit_code': 90071992614521184, 'n': 31, 'trace_an': 108}
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  • id: 64714083
    {'hecke_orbit_code': 90071992614521184, 'n': 773, 'trace_an': 16774}
  • id: 64714084
    {'hecke_orbit_code': 90071992614521184, 'n': 787, 'trace_an': -27116}
  • id: 64714085
    {'hecke_orbit_code': 90071992614521184, 'n': 797, 'trace_an': 17494}
  • id: 64714086
    {'hecke_orbit_code': 90071992614521184, 'n': 809, 'trace_an': 9298}
  • id: 64714087
    {'hecke_orbit_code': 90071992614521184, 'n': 811, 'trace_an': 21252}
  • id: 64714088
    {'hecke_orbit_code': 90071992614521184, 'n': 821, 'trace_an': 1578}
  • id: 64714089
    {'hecke_orbit_code': 90071992614521184, 'n': 823, 'trace_an': -9652}
  • id: 64714090
    {'hecke_orbit_code': 90071992614521184, 'n': 827, 'trace_an': -15612}
  • id: 64714091
    {'hecke_orbit_code': 90071992614521184, 'n': 829, 'trace_an': -13194}
  • id: 64714092
    {'hecke_orbit_code': 90071992614521184, 'n': 839, 'trace_an': -22512}
  • id: 64714093
    {'hecke_orbit_code': 90071992614521184, 'n': 841, 'trace_an': -20033}
  • id: 64714094
    {'hecke_orbit_code': 90071992614521184, 'n': 853, 'trace_an': 3114}
  • id: 64714095
    {'hecke_orbit_code': 90071992614521184, 'n': 857, 'trace_an': 36254}
  • id: 64714096
    {'hecke_orbit_code': 90071992614521184, 'n': 859, 'trace_an': -27644}
  • id: 64714097
    {'hecke_orbit_code': 90071992614521184, 'n': 863, 'trace_an': 8608}
  • id: 64714098
    {'hecke_orbit_code': 90071992614521184, 'n': 877, 'trace_an': -37294}
  • id: 64714099
    {'hecke_orbit_code': 90071992614521184, 'n': 881, 'trace_an': -5742}
  • id: 64714100
    {'hecke_orbit_code': 90071992614521184, 'n': 883, 'trace_an': -46028}
  • id: 64714101
    {'hecke_orbit_code': 90071992614521184, 'n': 887, 'trace_an': -10136}
  • id: 64714102
    {'hecke_orbit_code': 90071992614521184, 'n': 907, 'trace_an': -30900}
  • id: 64714103
    {'hecke_orbit_code': 90071992614521184, 'n': 911, 'trace_an': 45152}
  • id: 64714104
    {'hecke_orbit_code': 90071992614521184, 'n': 919, 'trace_an': -30044}
  • id: 64714105
    {'hecke_orbit_code': 90071992614521184, 'n': 929, 'trace_an': -11382}
  • id: 64714106
    {'hecke_orbit_code': 90071992614521184, 'n': 937, 'trace_an': 34758}
  • id: 64714107
    {'hecke_orbit_code': 90071992614521184, 'n': 941, 'trace_an': -13270}
  • id: 64714108
    {'hecke_orbit_code': 90071992614521184, 'n': 947, 'trace_an': -35620}
  • id: 64714109
    {'hecke_orbit_code': 90071992614521184, 'n': 953, 'trace_an': 16926}
  • id: 64714110
    {'hecke_orbit_code': 90071992614521184, 'n': 961, 'trace_an': -18127}
  • id: 64714111
    {'hecke_orbit_code': 90071992614521184, 'n': 967, 'trace_an': -27676}
  • id: 64714112
    {'hecke_orbit_code': 90071992614521184, 'n': 971, 'trace_an': 46916}
  • id: 64714113
    {'hecke_orbit_code': 90071992614521184, 'n': 977, 'trace_an': -27594}
  • id: 64714114
    {'hecke_orbit_code': 90071992614521184, 'n': 983, 'trace_an': -33016}
  • id: 64714115
    {'hecke_orbit_code': 90071992614521184, 'n': 991, 'trace_an': -2276}
  • id: 64714116
    {'hecke_orbit_code': 90071992614521184, 'n': 997, 'trace_an': -57654}