Embedded newform data - 525.8.a.c.1.1

Formats: - HTML - YAML - JSON - 2025-01-03T03:17:18.268892

• 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': 33600, 'analytic_conductor': 164.0021383791639, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 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': [525, 1, [176, 127, 451], [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': [[2, [-2, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388959245, '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': '525.8.a.c', 'level': 525, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '105.8.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}+3^{3}q^{3}-124q^{4}+54q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '525.8.a', 'trace_display': [2, 27, 0, -343], 'trace_hash': 328136068099872020, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.966', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.908', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.675', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 2, 27, -124, 0, 54, -343, -504, 729, 0, 2724, -3348, -2874, -686, 0, 14864, -9278, 1458, -4304, 0, -9261, 5448, 41500, -13608, 0, -5748, 19683, 42532, -35498, 0, -52940, 94240, 73548, -18556, 0, -90396, 84098, -8608, -77598, 0, 180342, -18522, 33452, -337776, 0, 83000, 136120, 401328, 117649, 0, -250506, 356376, 1270622, 39366, 0, 172872, -116208, -70996, -1553252, 0, 213598, -105880, -250047, -1714112, 0, 147096, -487228, 1150472, 1120500, 0, 1086000, -367416, 5921978, 168196, 0, 533696, -934332, -155196, -5429824, 0, 531441, 360684, -6933404, 1148364, 0, 66904, -958446, -1372896, 262614, 0, 985782, -5146000, -1429380, 272240, 0, 2544480, 522234, 235298, 1985796, 0, -1639606, -501012, 6575056, 1448496, 0, 2541244, -12148008, -2440692, -9684522, 0, 2270646, -5098352, -25029558, -232416, 0, 4401752, -2095146, -3106504, 3182354, 0, -12066995, 427196, 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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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0.0], [0.052528832860701674, 0.0], [0.0, 0.0]], 'angles': [-0.2359141758810002, None, None, None, -0.20008085827789734, -0.27903263469687134, -0.2867743139029793, -0.2614656985498104, -0.19213702959964848, -0.2715740588418849, -0.2755075624557341, -0.22821150649047614, -0.2172498893891333, -0.24489321993288635, -0.23475829290135977, -0.15031826352182887, -0.3319218611297636, -0.24040608326922905, -0.265775092250659, -0.22118685514993366, -0.07505327351554447, -0.3563379848148682, -0.36588922880851665, -0.24685752952221687, -0.24537602679921566, -0.26261419697443306, -0.20209999110471355, -0.3295595932399584, -0.30829484339230173, -0.40188507617049685, -0.2605550469062629, -0.26104714497191145, -0.26280397898253205, -0.24375110066371794, -0.33244915634265, -0.35964889185532883, -0.2658469104038697, -0.12794325505240559, -0.2637485011157252, -0.24339693299567766, -0.36903146671052683, -0.42521819185281, -0.2778695990861602, -0.08706255326195027, -0.30232177521652154, 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-0.29610769179102864, -0.28207652662435395, -0.29918513061966845, -0.3672329470064884, -0.2183405965319574, -0.27185365646838244, -0.16722551691644916, -0.09043266291983981, -0.3339084877563399, -0.279647610904728, -0.20675071991027197, -0.4294441846588562, -0.29262936473304774, -0.2504949356592562, -0.14665849469408948, -0.286713527318073, -0.11117751147731199, -0.3235361286057489, -0.3561104423395809, -0.37898833857323083, -0.3237269737680252, -0.20865777419926013, -0.30428328534543914, -0.24940618588335028, -0.18960360049180322, -0.3837152113676752, -0.25509909247161416, -0.3721820998200269, -0.2548081960314173, -0.2977041094790306, -0.38880539013503435], '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': 3, 'hecke_orbit_code': 9007199388959245, 'label': '525.8.a.c.1.1', 'level': 525, 'weight': 8}
• 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': [15, 17, 17, 17, 14, 18, 19, 15], 'Nk2': 33600, 'analytic_conductor': 164.0021383791639, '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': [525, 1, [176, 127, 451], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 548, 'dim': 132, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134218253, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8, 8, 8, 8, 9, 9, 11, 11], 'label': '525.8.a', 'level': 525, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 572, 'mf_new_dim': 132, 'num_forms': 25, 'plus_dim': 69, 'prim_orbit_index': 1, 'relative_dim': 132, 'sturm_bound': 640, 'trace_bound': 2, 'trace_display': [-30, 0, 0, 686], 'traces': [132, -30, 0, 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• 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: 40521792
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959245, 'source_is_minimal': False, 'source_label': '525.8.a.c.1.1', 'source_level': 525, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388959245, 'target_is_minimal': False, 'target_label': '525.8.a.c.1.1', 'target_level': 525, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 40521793
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959245, 'source_is_minimal': False, 'source_label': '525.8.a.c.1.1', 'source_level': 525, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217833, 'target_is_minimal': True, 'target_label': '105.8.a.a.1.1', 'target_level': 105, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 40521794
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959245, 'source_is_minimal': False, 'source_label': '525.8.a.c.1.1', 'source_level': 525, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588539, 'target_is_minimal': False, 'target_label': '315.8.a.b.1.1', 'target_level': 315, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1006625
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 2}
  • id: 1006626
    {'charpoly_factorization': [[[-27, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 3}
  • id: 1006627
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 5}
  • id: 1006628
    {'charpoly_factorization': [[[343, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 7}
  • id: 1006629
    {'charpoly_factorization': [[[-2724, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 11}
  • id: 1006630
    {'charpoly_factorization': [[[2874, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 13}
  • id: 1006631
    {'charpoly_factorization': [[[9278, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 17}
  • id: 1006632
    {'charpoly_factorization': [[[4304, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 19}
  • id: 1006633
    {'charpoly_factorization': [[[-41500, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 23}
  • id: 1006634
    {'charpoly_factorization': [[[35498, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 29}
  • id: 1006635
    {'charpoly_factorization': [[[52940, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 31}
  • id: 1006636
    {'charpoly_factorization': [[[-84098, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 37}
  • id: 1006637
    {'charpoly_factorization': [[[-180342, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 41}
  • id: 1006638
    {'charpoly_factorization': [[[-33452, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 43}
  • id: 1006639
    {'charpoly_factorization': [[[-136120, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 47}
  • id: 1006640
    {'charpoly_factorization': [[[-1270622, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 53}
  • id: 1006641
    {'charpoly_factorization': [[[1553252, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 59}
  • id: 1006642
    {'charpoly_factorization': [[[-213598, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 61}
  • id: 1006643
    {'charpoly_factorization': [[[487228, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 67}
  • id: 1006644
    {'charpoly_factorization': [[[-1086000, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 71}
  • id: 1006645
    {'charpoly_factorization': [[[-5921978, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 73}
  • id: 1006646
    {'charpoly_factorization': [[[5429824, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 79}
  • id: 1006647
    {'charpoly_factorization': [[[6933404, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 83}
  • id: 1006648
    {'charpoly_factorization': [[[-262614, 1], 1]], 'hecke_orbit_code': 9007199388959245, 'p': 89}
  • id: 1006649
    {'charpoly_factorization': [[[-522234, 1], 1]], 'hecke_orbit_code': 9007199388959245, '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': 3, 'label': '525.8.a.c', 'level': 525, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29158879
    {'hecke_orbit_code': 9007199388959245, 'n': 1, 'trace_an': 1}
  • id: 29158880
    {'hecke_orbit_code': 9007199388959245, 'n': 2, 'trace_an': 2}
  • id: 29158881
    {'hecke_orbit_code': 9007199388959245, 'n': 3, 'trace_an': 27}
  • id: 29158882
    {'hecke_orbit_code': 9007199388959245, 'n': 4, 'trace_an': -124}
  • id: 29158883
    {'hecke_orbit_code': 9007199388959245, 'n': 5, 'trace_an': 0}
  • id: 29158884
    {'hecke_orbit_code': 9007199388959245, 'n': 6, 'trace_an': 54}
  • id: 29158885
    {'hecke_orbit_code': 9007199388959245, 'n': 7, 'trace_an': -343}
  • id: 29158886
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