Embedded newform data - 29.14.b.a.28.12

Formats: - HTML - YAML - JSON - 2024-06-09T09:25:26.491558

• 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': 5684, 'analytic_conductor': 31.096969396054682, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 29, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [29, 2, [2], [1]], 'cm_discs': [], 'conrey_index': 28, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 68954357789, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 29, 2, 1, 2, 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': '29.14.b.a', 'level': 29, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [29], 'level_radical': 29, 'minimal_twist': '29.14.b.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '13.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '29.14.b', 'trace_display': [0, 0, -90794, 398260], 'traces': [32, 0, 0, -131436, -90794, -191952, 398260, 0, -18624674, 0, 0, 0, 5240482, 0, 0, 549733588, 0, 0, 0, 593107012, 0, -1351453384, 1866943772, 4550583596, 7169723618, 0, 0, -13976463456, -10157197956, 21508715952, 0, 0, -8142086534, 21000232616, -15057663628, 116060443480, 0, -86572746688, 0, 0, 0, 13537077480, 0, 0, 263177965664, 0, 0, 0, 513778986120, 0, -372662169044, -101448215388, 573910354530, 1479431015408, 0, 0, 500871600416, -969686686880, 1024205768724, 0, 0, 1751113369840, -4168751771256, -2804312517964, -781490399506, 0, -872679676184, 0, 0, 0, -1363415929136, 0, 0, -6756459308672, 0, 0, 0, -23715100786248, 0, 1267893681036, 25379587936536, 4236061808312, 6421393088172, 0, 0, -16601603597496, 3240260232764, 3526967972716, 0, 0, -5472886962916, 1684734140256, 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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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0.21081047903079633, -0.13716839391757787, -0.46130610748536377, 0.13587125908552003, -0.29027311443874887, 0.0042317456449187775, -0.33854637648546143, -0.35842875293715604], 'char_orbit_index': 2, 'conrey_index': 28, 'dual_conrey_index': 28, 'dual_embedding_index': 21, 'dual_embedding_m': 21, 'embedding_index': 12, 'embedding_m': 12, 'hecke_orbit': 1, 'hecke_orbit_code': 68954357789, 'label': '29.14.b.a.28.12', 'level': 29, 'weight': 14}
• 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': 5684, 'analytic_conductor': 31.096969396054682, 'char_conductor': 29, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [29, 2, [2], [1]], 'conrey_index': 28, 'cusp_dim': 32, 'dim': 32, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_orbit_code': 68954357789, 'hecke_orbit_dims': [32], 'label': '29.14.b', 'level': 29, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [29], 'level_radical': 29, 'mf_dim': 34, 'mf_new_dim': 34, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 32, 'sturm_bound': 35, 'trace_bound': 0, 'trace_display': [0, 0, -90794, 398260], 'traces': [32, 0, 0, -131436, -90794, -191952, 398260, 0, -18624674, 0, 0, 0, 5240482, 0, 0, 549733588, 0, 0, 0, 593107012, 0, -1351453384, 1866943772, 4550583596, 7169723618, 0, 0, -13976463456, -10157197956, 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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: 738111
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 68954357789, 'source_is_minimal': True, 'source_label': '29.14.b.a.28.12', 'source_level': 29, 'target_conrey_index': 28, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 68954357789, 'target_is_minimal': True, 'target_label': '29.14.b.a.28.12', 'target_level': 29, 'twist_class_label': '29.14.b.a.28.12', 'twist_class_level': 29, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 14}
  • id: 738112
    {'conductor': 29, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 68954357789, 'source_is_minimal': True, 'source_label': '29.14.b.a.28.12', 'source_level': 29, 'target_conrey_index': 28, 'target_dim': 32, 'target_embedding_index': 21, 'target_hecke_orbit_code': 68954357789, 'target_is_minimal': True, 'target_label': '29.14.b.a.28.21', 'target_level': 29, 'twist_class_label': '29.14.b.a.28.12', 'twist_class_level': 29, 'twisting_char_label': '29.28', 'twisting_conrey_index': 28, 'weight': 14}
• hecke_orbit_code 68954357789 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': 2, 'hecke_orbit': 1, 'label': '29.14.b.a', 'level': 29, 'portrait': 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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 5171899
    {'hecke_orbit_code': 68954357789, 'n': 1, 'trace_an': 32}
  • id: 5171900
    {'hecke_orbit_code': 68954357789, 'n': 2, 'trace_an': 0}
  • id: 5171901
    {'hecke_orbit_code': 68954357789, 'n': 3, 'trace_an': 0}
  • id: 5171902
    {'hecke_orbit_code': 68954357789, 'n': 4, 'trace_an': -131436}
  • id: 5171903
    {'hecke_orbit_code': 68954357789, 'n': 5, 'trace_an': -90794}
  • id: 5171904
    {'hecke_orbit_code': 68954357789, 'n': 6, 'trace_an': -191952}
  • id: 5171905
    {'hecke_orbit_code': 68954357789, 'n': 7, 'trace_an': 398260}
  • id: 5171906
    {'hecke_orbit_code': 68954357789, 'n': 8, 'trace_an': 0}
  • id: 5171907
    {'hecke_orbit_code': 68954357789, 'n': 9, 'trace_an': -18624674}
  • id: 5171908
    {'hecke_orbit_code': 68954357789, 'n': 10, 'trace_an': 0}
  • id: 5171909
    {'hecke_orbit_code': 68954357789, 'n': 11, 'trace_an': 0}
  • id: 5171910
    {'hecke_orbit_code': 68954357789, 'n': 12, 'trace_an': 0}
  • id: 5171911
    {'hecke_orbit_code': 68954357789, 'n': 13, 'trace_an': 5240482}
  • id: 5171912
    {'hecke_orbit_code': 68954357789, 'n': 14, 'trace_an': 0}
  • id: 5171913
    {'hecke_orbit_code': 68954357789, 'n': 15, 'trace_an': 0}
  • id: 5171914
    {'hecke_orbit_code': 68954357789, 'n': 16, 'trace_an': 549733588}
  • id: 5171915
    {'hecke_orbit_code': 68954357789, 'n': 17, 'trace_an': 0}
  • id: 5171916
    {'hecke_orbit_code': 68954357789, 'n': 18, 'trace_an': 0}
  • id: 5171917
    {'hecke_orbit_code': 68954357789, 'n': 19, 'trace_an': 0}
  • id: 5171918
    {'hecke_orbit_code': 68954357789, 'n': 20, 'trace_an': 593107012}
  • id: 5171919
    {'hecke_orbit_code': 68954357789, 'n': 21, 'trace_an': 0}
  • id: 5171920
    {'hecke_orbit_code': 68954357789, 'n': 22, 'trace_an': -1351453384}
  • id: 5171921
    {'hecke_orbit_code': 68954357789, 'n': 23, 'trace_an': 1866943772}
  • id: 5171922
    {'hecke_orbit_code': 68954357789, 'n': 24, 'trace_an': 4550583596}
  • id: 5171923
    {'hecke_orbit_code': 68954357789, 'n': 25, 'trace_an': 7169723618}
  • id: 5171924
    {'hecke_orbit_code': 68954357789, 'n': 26, 'trace_an': 0}
  • id: 5171925
    {'hecke_orbit_code': 68954357789, 'n': 27, 'trace_an': 0}
  • id: 5171926
    {'hecke_orbit_code': 68954357789, 'n': 28, 'trace_an': -13976463456}
  • id: 5171927
    {'hecke_orbit_code': 68954357789, 'n': 29, 'trace_an': -10157197956}
  • id: 5171928
    {'hecke_orbit_code': 68954357789, 'n': 30, 'trace_an': 21508715952}
  • id: 5171929
    {'hecke_orbit_code': 68954357789, 'n': 31, 'trace_an': 0}
  • id: 5171930
    {'hecke_orbit_code': 68954357789, 'n': 32, 'trace_an': 0}
  • id: 5171931
    {'hecke_orbit_code': 68954357789, 'n': 33, 'trace_an': -8142086534}
  • id: 5171932
    {'hecke_orbit_code': 68954357789, 'n': 34, 'trace_an': 21000232616}
  • id: 5171933
    {'hecke_orbit_code': 68954357789, 'n': 35, 'trace_an': -15057663628}
  • id: 5171934
    {'hecke_orbit_code': 68954357789, 'n': 36, 'trace_an': 116060443480}
  • id: 5171935
    {'hecke_orbit_code': 68954357789, 'n': 37, 'trace_an': 0}
  • id: 5171936
    {'hecke_orbit_code': 68954357789, 'n': 38, 'trace_an': -86572746688}
  • id: 5171937
    {'hecke_orbit_code': 68954357789, 'n': 39, 'trace_an': 0}
  • id: 5171938
    {'hecke_orbit_code': 68954357789, 'n': 40, 'trace_an': 0}
  • id: 5171939
    {'hecke_orbit_code': 68954357789, 'n': 41, 'trace_an': 0}
  • id: 5171940
    {'hecke_orbit_code': 68954357789, 'n': 42, 'trace_an': 13537077480}
  • id: 5171941
    {'hecke_orbit_code': 68954357789, 'n': 43, 'trace_an': 0}
  • id: 5171942
    {'hecke_orbit_code': 68954357789, 'n': 44, 'trace_an': 0}
  • id: 5171943
    {'hecke_orbit_code': 68954357789, 'n': 45, 'trace_an': 263177965664}
  • id: 5171944
    {'hecke_orbit_code': 68954357789, 'n': 46, 'trace_an': 0}
  • id: 5171945
    {'hecke_orbit_code': 68954357789, 'n': 47, 'trace_an': 0}
  • id: 5171946
    {'hecke_orbit_code': 68954357789, 'n': 48, 'trace_an': 0}
  • id: 5171947
    {'hecke_orbit_code': 68954357789, 'n': 49, 'trace_an': 513778986120}
  • id: 5171948
    {'hecke_orbit_code': 68954357789, 'n': 50, 'trace_an': 0}
  • id: 5171949
    {'hecke_orbit_code': 68954357789, 'n': 51, 'trace_an': -372662169044}
  • id: 5171950
    {'hecke_orbit_code': 68954357789, 'n': 52, 'trace_an': -101448215388}
  • id: 5171951
    {'hecke_orbit_code': 68954357789, 'n': 53, 'trace_an': 573910354530}
  • id: 5171952
    {'hecke_orbit_code': 68954357789, 'n': 54, 'trace_an': 1479431015408}
  • id: 5171953
    {'hecke_orbit_code': 68954357789, 'n': 55, 'trace_an': 0}
  • id: 5171954
    {'hecke_orbit_code': 68954357789, 'n': 56, 'trace_an': 0}
  • id: 5171955
    {'hecke_orbit_code': 68954357789, 'n': 57, 'trace_an': 500871600416}
  • id: 5171956
    {'hecke_orbit_code': 68954357789, 'n': 58, 'trace_an': -969686686880}
  • id: 5171957
    {'hecke_orbit_code': 68954357789, 'n': 59, 'trace_an': 1024205768724}
  • id: 5171958
    {'hecke_orbit_code': 68954357789, 'n': 60, 'trace_an': 0}
  • id: 5171959
    {'hecke_orbit_code': 68954357789, 'n': 61, 'trace_an': 0}
  • id: 5171960
    {'hecke_orbit_code': 68954357789, 'n': 62, 'trace_an': 1751113369840}
  • id: 5171961
    {'hecke_orbit_code': 68954357789, 'n': 63, 'trace_an': -4168751771256}
  • id: 5171962
    {'hecke_orbit_code': 68954357789, 'n': 64, 'trace_an': -2804312517964}
  • id: 5171963
    {'hecke_orbit_code': 68954357789, 'n': 65, 'trace_an': -781490399506}
  • id: 5171964
    {'hecke_orbit_code': 68954357789, 'n': 66, 'trace_an': 0}
  • id: 5171965
    {'hecke_orbit_code': 68954357789, 'n': 67, 'trace_an': -872679676184}
  • id: 5171966
    {'hecke_orbit_code': 68954357789, 'n': 68, 'trace_an': 0}
  • id: 5171967
    {'hecke_orbit_code': 68954357789, 'n': 69, 'trace_an': 0}
  • id: 5171968
    {'hecke_orbit_code': 68954357789, 'n': 70, 'trace_an': 0}
  • id: 5171969
    {'hecke_orbit_code': 68954357789, 'n': 71, 'trace_an': -1363415929136}
  • id: 5171970
    {'hecke_orbit_code': 68954357789, 'n': 72, 'trace_an': 0}
  • id: 5171971
    {'hecke_orbit_code': 68954357789, 'n': 73, 'trace_an': 0}
  • id: 5171972
    {'hecke_orbit_code': 68954357789, 'n': 74, 'trace_an': -6756459308672}
  • id: 5171973
    {'hecke_orbit_code': 68954357789, 'n': 75, 'trace_an': 0}
  • id: 5171974
    {'hecke_orbit_code': 68954357789, 'n': 76, 'trace_an': 0}
  • id: 5171975
    {'hecke_orbit_code': 68954357789, 'n': 77, 'trace_an': 0}
  • id: 5171976
    {'hecke_orbit_code': 68954357789, 'n': 78, 'trace_an': -23715100786248}
  • id: 5171977
    {'hecke_orbit_code': 68954357789, 'n': 79, 'trace_an': 0}
  • id: 5171978
    {'hecke_orbit_code': 68954357789, 'n': 80, 'trace_an': 1267893681036}
  • id: 5171979
    {'hecke_orbit_code': 68954357789, 'n': 81, 'trace_an': 25379587936536}
  • id: 5171980
    {'hecke_orbit_code': 68954357789, 'n': 82, 'trace_an': 4236061808312}
  • id: 5171981
    {'hecke_orbit_code': 68954357789, 'n': 83, 'trace_an': 6421393088172}
  • id: 5171982
    {'hecke_orbit_code': 68954357789, 'n': 84, 'trace_an': 0}
  • id: 5171983
    {'hecke_orbit_code': 68954357789, 'n': 85, 'trace_an': 0}
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