Embedded newform data - 2400.4.a.bk.1.2

Formats: - HTML - YAML - JSON - 2025-05-15T10:49:16.700613

• 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': 1, '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': 3, 'field_disc': 32340, 'field_disc_factorization': [[2, 2], [3, 1], [5, 1], [7, 2], [11, 1]], 'field_poly': [-14, -42, 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, [-1925, -469, -7, 1]], [11, [5600, -3360, 0, 1]]], 'hecke_orbit': 37, 'hecke_orbit_code': 162129586652449120, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], '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': True, 'label': '2400.4.a.bk', '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': '2400.4.a.bk', 'nf_label': '3.3.32340.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}+(2-\\beta _{2})q^{7}+9q^{9}+(1-3\\beta _{1}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2400.4.a', 'trace_display': [0, -9, 0, 7], 'trace_hash': 282758396959945312, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.893', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.344', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '229.967', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [3, 0, -9, 0, 0, 0, 7, 0, 27, 0, 0, 0, -21, 0, 0, 0, -32, 0, -19, 0, -21, 0, 60, 0, 0, 0, -81, 0, 44, 0, 151, 0, 0, 0, 0, 0, -330, 0, 63, 0, 82, 0, 367, 0, 0, 0, -246, 0, -42, 0, 96, 0, -554, 0, 0, 0, 57, 0, -42, 0, -27, 0, 63, 0, 0, 0, -837, 0, -180, 0, 1422, 0, -498, 0, 0, 0, -560, 0, 688, 0, 243, 0, 702, 0, 0, 0, -132, 0, -1488, 0, 735, 0, -453, 0, 0, 0, 351, 0, 0, 0, 1054, 0, 1568, 0, 0, 0, -498, 0, -885, 0, 990, 0, -1380, 0, 0, 0, -189, 0, 1680, 0, 2727, 0, -246, 0, 0, 0, -1800, 0, -1101, 0, 1818, 0, -4935, 0, 0, 0, 1486, 0, -460, 0, 738, 0, 1680, 0, 0, 0, 126, 0, -1510, 0, 3905, 0, -288, 0, 0, 0, -4875, 0, 1662, 0, 4956, 0, 1389, 0, 0, 0, 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• 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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-0.3546171231242049, -0.18437553602012258, -0.06297481047552539, -0.22678092594727414, -0.29856088347312176, -0.3614480299375648, -0.2790918945984371, -0.3143003528225159, -0.45699645966938457, -0.02657873617461585, -0.19589890452377598, -0.38649319731586235, -0.2081989157640555, -0.31201740364702574, -0.3280963703123853, -0.11191507992463749, -0.25761903766626415, -0.14337776524192367, -0.07463907787779392, -0.36000566239487475, -0.20053651348021082, -0.2523163465958217, -0.13090370242970983, -0.25355549220979035, -0.27191970603642684, -0.33748738609479867, -0.3105967241076863, -0.3596236914758944, -0.20964042129712784, -0.24952421283105153, -0.24174069272122364, -0.20023159543174868, -0.20096206152904458, -0.3199825504718311, -0.21626534072270215, -0.38397429820521933, -0.1829535456788498, -0.24663529994243538, -0.24440055459742385, -0.08284451753739029, -0.35672944951710706, -0.37871911806703185, -0.20757510794004358, -0.1994205275560191, -0.34309179313866145, -0.3041207617768584, -0.11794972059839584, -0.07276955213018048, -0.18894107276756225, -0.24394630523643904, -0.2809160370508909, -0.22436051750378946, -0.2110644784514059, -0.20134609474718249, -0.2950678176552381, -0.2817304400117362, -0.23667568507936626, -0.17408415783763911, -0.26254194017197413, -0.3233729285471442, -0.3064005138486729, -0.17781200227221092, -0.16207441255523697, -0.22492556624326335, -0.37258963934353667, -0.07637178723911585, -0.14189146202715736, -0.1904715686673127, -0.03646182472412161, -0.3039962791719866, -0.2595854000670873, -0.3160643658024915, -0.24574024667957736, -0.39622477963174413, -0.36414362988642707, -0.39006536259194907, -0.3161297264310789, -0.3585419865150147, -0.17536559494818196, -0.3370877195899032, -0.30287090910555614, -0.3681709405231526, -0.18093035961646248, -0.3501307800571717, -0.26920542837665556, -0.3282137053059488, -0.2594060970275278, -0.13200460647238502, -0.31586170687532006, -0.14086040916313836, -0.13578941293107608, -0.2373033528132731, -0.22070595687242367, -0.12871817472290328, -0.327250884088667, -0.3572710428570028, -0.2607935690735387, -0.31791580048340445, -0.38485826760087855, -0.34042575918738466, -0.1554890121272863, -0.19915669037847755, -0.11341064448271841, -0.20444707908938206, -0.25131197451662873, -0.24037896353032973, -0.2797946425232145, -0.21589726263306852, -0.22794218940445446, -0.3238378296680282, -0.27693851392924684, -0.23498242121426605, -0.28852292690836456, -0.3422494472034807, -0.33733964162002866, -0.31110511671423696, -0.1283394454356759, -0.21481786965835994, -0.3855081879622892, -0.1688154327384059, -0.2731008252654648, -0.3035185493924581, -0.19893514174247764, -0.1697455816071048, -0.12287427444385479, -0.3060350818015692, -0.3647840306192995, -0.21214117463268545, -0.1734220808822859, -0.25758198486440426, -0.27404503372844924, -0.38753066557908467, -0.1795925809116296, -0.22116560914729416, -0.2101406792892854, -0.24894350894940498, -0.3645460029877058, -0.19493669999557842, -0.39525612465200394, -0.30491894073518727, -0.308142605752795, -0.2572975415085562, -0.27665308366973046, -0.315765989336155, -0.3988387533623724, -0.3906240685096627, -0.16031204643464683, -0.20080689136097424, -0.26627397733324953, -0.284218194597526, -0.2284639292653273, -0.197032481412186], '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': 6.641384950160538, 'hecke_orbit': 37, 'hecke_orbit_code': 162129586652449120, 'label': '2400.4.a.bk.1.2', '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: 48882841
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 162129586652449120, 'source_is_minimal': True, 'source_label': '2400.4.a.bk.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 162129586652449120, 'target_is_minimal': True, 'target_label': '2400.4.a.bk.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bk.1.2', 'twist_class_level': 2400, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48882842
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 162129586652449120, 'source_is_minimal': True, 'source_label': '2400.4.a.bk.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 189151184416672096, 'target_is_minimal': True, 'target_label': '2400.4.a.bq.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bk.1.2', 'twist_class_level': 2400, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48882843
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 162129586652449120, 'source_is_minimal': True, 'source_label': '2400.4.a.bk.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 193654784044042592, 'target_is_minimal': True, 'target_label': '2400.4.a.br.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bk.1.2', 'twist_class_level': 2400, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48882844
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 162129586652449120, 'source_is_minimal': True, 'source_label': '2400.4.a.bk.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186279819616, 'target_is_minimal': True, 'target_label': '2400.4.a.bl.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bk.1.2', 'twist_class_level': 2400, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2633600
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 162129586652449120, 'p': 2}
  • id: 2633601
    {'charpoly_factorization': [[[3, 1], 3]], 'hecke_orbit_code': 162129586652449120, 'p': 3}
  • id: 2633602
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 162129586652449120, 'p': 5}
  • id: 2633603
    {'charpoly_factorization': [[[-1925, -469, -7, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 7}
  • id: 2633604
    {'charpoly_factorization': [[[5600, -3360, 0, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 11}
  • id: 2633605
    {'charpoly_factorization': [[[-3465, -525, 21, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 13}
  • id: 2633606
    {'charpoly_factorization': [[[-46880, -1600, 32, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 17}
  • id: 2633607
    {'charpoly_factorization': [[[98225, -21085, 19, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 19}
  • id: 2633608
    {'charpoly_factorization': [[[1524384, -19632, -60, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 23}
  • id: 2633609
    {'charpoly_factorization': [[[540128, -20560, -44, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 29}
  • id: 2633610
    {'charpoly_factorization': [[[84715, 395, -151, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 31}
  • id: 2633611
    {'charpoly_factorization': [[[-125000, -10740, 330, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 37}
  • id: 2633612
    {'charpoly_factorization': [[[-2267000, -78100, -82, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 41}
  • id: 2633613
    {'charpoly_factorization': [[[19330723, -58069, -367, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 43}
  • id: 2633614
    {'charpoly_factorization': [[[19722184, -210996, 246, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 47}
  • id: 2633615
    {'charpoly_factorization': [[[-116619560, -213460, 554, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 53}
  • id: 2633616
    {'charpoly_factorization': [[[-1559880, -42420, 42, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 59}
  • id: 2633617
    {'charpoly_factorization': [[[124612825, -486285, 27, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 61}
  • id: 2633618
    {'charpoly_factorization': [[[650439, 48723, 837, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 67}
  • id: 2633619
    {'charpoly_factorization': [[[39802680, 382380, -1422, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 71}
  • id: 2633620
    {'charpoly_factorization': [[[-10909480, -168660, 498, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 73}
  • id: 2633621
    {'charpoly_factorization': [[[13573120, -119680, -688, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 79}
  • id: 2633622
    {'charpoly_factorization': [[[189586328, -410964, -702, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 83}
  • id: 2633623
    {'charpoly_factorization': [[[-589400064, -605952, 1488, 1], 1]], 'hecke_orbit_code': 162129586652449120, 'p': 89}
  • id: 2633624
    {'charpoly_factorization': [[[344046515, -1743765, -351, 1], 1]], 'hecke_orbit_code': 162129586652449120, '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': 37, 'label': '2400.4.a.bk', 'level': 2400, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 70061425
    {'hecke_orbit_code': 162129586652449120, 'n': 1, 'trace_an': 3}
  • id: 70061426
    {'hecke_orbit_code': 162129586652449120, 'n': 2, 'trace_an': 0}
  • id: 70061427
    {'hecke_orbit_code': 162129586652449120, 'n': 3, 'trace_an': -9}
  • id: 70061428
    {'hecke_orbit_code': 162129586652449120, 'n': 4, 'trace_an': 0}
  • id: 70061429
    {'hecke_orbit_code': 162129586652449120, 'n': 5, 'trace_an': 0}
  • id: 70061430
    {'hecke_orbit_code': 162129586652449120, 'n': 6, 'trace_an': 0}
  • id: 70061431
    {'hecke_orbit_code': 162129586652449120, 'n': 7, 'trace_an': 7}
  • id: 70061432
    {'hecke_orbit_code': 162129586652449120, 'n': 8, 'trace_an': 0}
  • id: 70061433
    {'hecke_orbit_code': 162129586652449120, 'n': 9, 'trace_an': 27}
  • id: 70061434
    {'hecke_orbit_code': 162129586652449120, 'n': 10, 'trace_an': 0}
  • id: 70061435
    {'hecke_orbit_code': 162129586652449120, 'n': 11, 'trace_an': 0}
  • id: 70061436
    {'hecke_orbit_code': 162129586652449120, 'n': 12, 'trace_an': 0}
  • id: 70061437
    {'hecke_orbit_code': 162129586652449120, 'n': 13, 'trace_an': -21}
  • id: 70061438
    {'hecke_orbit_code': 162129586652449120, 'n': 14, 'trace_an': 0}
  • id: 70061439
    {'hecke_orbit_code': 162129586652449120, 'n': 15, 'trace_an': 0}
  • id: 70061440
    {'hecke_orbit_code': 162129586652449120, 'n': 16, 'trace_an': 0}
  • id: 70061441
    {'hecke_orbit_code': 162129586652449120, 'n': 17, 'trace_an': -32}
  • id: 70061442
    {'hecke_orbit_code': 162129586652449120, 'n': 18, 'trace_an': 0}
  • id: 70061443
    {'hecke_orbit_code': 162129586652449120, 'n': 19, 'trace_an': -19}
  • id: 70061444
    {'hecke_orbit_code': 162129586652449120, 'n': 20, 'trace_an': 0}
  • id: 70061445
    {'hecke_orbit_code': 162129586652449120, 'n': 21, 'trace_an': -21}
  • id: 70061446
    {'hecke_orbit_code': 162129586652449120, 'n': 22, 'trace_an': 0}
  • id: 70061447
    {'hecke_orbit_code': 162129586652449120, 'n': 23, 'trace_an': 60}
  • id: 70061448
    {'hecke_orbit_code': 162129586652449120, 'n': 24, 'trace_an': 0}
  • id: 70061449
    {'hecke_orbit_code': 162129586652449120, 'n': 25, 'trace_an': 0}
  • id: 70061450
    {'hecke_orbit_code': 162129586652449120, 'n': 26, 'trace_an': 0}
  • id: 70061451
    {'hecke_orbit_code': 162129586652449120, 'n': 27, 'trace_an': -81}
  • id: 70061452
    {'hecke_orbit_code': 162129586652449120, 'n': 28, 'trace_an': 0}
  • id: 70061453
    {'hecke_orbit_code': 162129586652449120, 'n': 29, 'trace_an': 44}
  • id: 70061454
    {'hecke_orbit_code': 162129586652449120, 'n': 30, 'trace_an': 0}
  • id: 70061455
    {'hecke_orbit_code': 162129586652449120, 'n': 31, 'trace_an': 151}
  • id: 70061456
    {'hecke_orbit_code': 162129586652449120, 'n': 32, 'trace_an': 0}
  • id: 70061457
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  • id: 70061465
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  • id: 70061467
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  • id: 70061471
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  • id: 70061473
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  • id: 70061500
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  • id: 70061546
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  • id: 70061547
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  • id: 70061553
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  • id: 70061564
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  • id: 70061565
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  • id: 70061645
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  • id: 70061646
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  • id: 70061647
    {'hecke_orbit_code': 162129586652449120, 'n': 761, 'trace_an': 9668}
  • id: 70061648
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  • id: 70061649
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  • id: 70061650
    {'hecke_orbit_code': 162129586652449120, 'n': 787, 'trace_an': -23399}
  • id: 70061651
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  • id: 70061652
    {'hecke_orbit_code': 162129586652449120, 'n': 809, 'trace_an': -17058}
  • id: 70061653
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  • id: 70061654
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  • id: 70061655
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  • id: 70061656
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  • id: 70061657
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  • id: 70061658
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  • id: 70061659
    {'hecke_orbit_code': 162129586652449120, 'n': 841, 'trace_an': -30111}
  • id: 70061660
    {'hecke_orbit_code': 162129586652449120, 'n': 853, 'trace_an': 16953}
  • id: 70061661
    {'hecke_orbit_code': 162129586652449120, 'n': 857, 'trace_an': -12000}
  • id: 70061662
    {'hecke_orbit_code': 162129586652449120, 'n': 859, 'trace_an': -55540}
  • id: 70061663
    {'hecke_orbit_code': 162129586652449120, 'n': 863, 'trace_an': -18156}
  • id: 70061664
    {'hecke_orbit_code': 162129586652449120, 'n': 877, 'trace_an': 16977}
  • id: 70061665
    {'hecke_orbit_code': 162129586652449120, 'n': 881, 'trace_an': -41924}
  • id: 70061666
    {'hecke_orbit_code': 162129586652449120, 'n': 883, 'trace_an': 5923}
  • id: 70061667
    {'hecke_orbit_code': 162129586652449120, 'n': 887, 'trace_an': 16998}
  • id: 70061668
    {'hecke_orbit_code': 162129586652449120, 'n': 907, 'trace_an': -17092}
  • id: 70061669
    {'hecke_orbit_code': 162129586652449120, 'n': 911, 'trace_an': 53910}
  • id: 70061670
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  • id: 70061671
    {'hecke_orbit_code': 162129586652449120, 'n': 929, 'trace_an': 23064}
  • id: 70061672
    {'hecke_orbit_code': 162129586652449120, 'n': 937, 'trace_an': 5217}
  • id: 70061673
    {'hecke_orbit_code': 162129586652449120, 'n': 941, 'trace_an': -78422}
  • id: 70061674
    {'hecke_orbit_code': 162129586652449120, 'n': 947, 'trace_an': 40668}
  • id: 70061675
    {'hecke_orbit_code': 162129586652449120, 'n': 953, 'trace_an': -33832}
  • id: 70061676
    {'hecke_orbit_code': 162129586652449120, 'n': 961, 'trace_an': -67362}
  • id: 70061677
    {'hecke_orbit_code': 162129586652449120, 'n': 967, 'trace_an': -92816}
  • id: 70061678
    {'hecke_orbit_code': 162129586652449120, 'n': 971, 'trace_an': -13098}
  • id: 70061679
    {'hecke_orbit_code': 162129586652449120, 'n': 977, 'trace_an': 15714}
  • id: 70061680
    {'hecke_orbit_code': 162129586652449120, 'n': 983, 'trace_an': -52044}
  • id: 70061681
    {'hecke_orbit_code': 162129586652449120, 'n': 991, 'trace_an': -6113}
  • id: 70061682
    {'hecke_orbit_code': 162129586652449120, 'n': 997, 'trace_an': -11586}