Embedded newform data - 37.6.e.a.27.3

Formats: - HTML - YAML - JSON - 2024-05-20T07:15:42.893172

• 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_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': 1332, 'analytic_conductor': 5.934201333080283, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 6, 'char_parity': 1, 'char_values': [37, 6, [2], [5]], 'cm_discs': [], 'conrey_index': 11, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 274978570277, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 5, 1, 6, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '37.6.e.a', 'level': 37, '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': [37], 'level_radical': 37, 'minimal_twist': '37.6.e.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '5.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '37.6.e', 'trace_display': [-6, 18, 144, -52], 'traces': [32, -6, 18, 298, 144, 0, -52, 0, -1490, 668, -348, 134, 222, 0, -4134, -6998, -624, 7632, 2154, 4806, -130, -8214, 0, 24642, 15808, 4332, -30384, -9048, 0, 7780, 0, 35088, -924, -5982, 27072, -57468, -46062, -48048, -31896, 57956, -11136, 50886, 0, -43686, 0, 42866, 63708, -39260, -52426, -29292, 0, 132684, -85398, 235314, -65346, 121836, -96270, -121896, 40980, 0, -74616, 89346, 232304, -321132, 24066, 0, 68018, 0, -11052, -230194, -32544, 117876, -179176, -89166, -379288, 196110, 22428, -288138, 217218, 0, -6200, 0, -127434, 1109800, 218576, -80364, 457230, 0, -164844, -360436, 167160, -984606, 532392, -369822, 187398, 1476018, 0, -174684, 194298, 593512, -655524, -998860, 0, 24564, 0, 563718, -691476, -1000252, 789720, -1787700, -594254, -1756952, 731178, 540846, -303114, -184146, 0, 663450, 0, -136794, 792368, 1100724, 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0, -20305050, 4124614, 43800012, -65780796, -6435144, 0, 10716600, 0, 47029878, -3823942, -11866500, -75055050, -61299132, -724620, 36666660, 38008080, -22890088, -35117646, -72960072, 0, 12853086, 0, -33209668, -81406344, -62079580, 35354086, 7278624, 0, 20510562, 6345186, 28698756, 124969170, -4751676, 130944594, 49675216, 52272996, 0, 1261728, -25429914, -99208488, 9999624, 20967390, 0, -34681066, 0, -31505220, 21672592, 22426902, 16634988, 13089492, 28233618, -31720848, 33545094, 75737142, 28954932, 29005662, 0, -16036668, 0, 41110782, -55958184, -74313704, -53358864, 108049374, 0, -22799376, 60954936, -42920868, -22781280, -45496956, -56466312, 11454564, -109222704, 0, 18527448, -9345576, 23560508, 6770508, -20477800, 0, 40101084, 0, -76549296, 11144550, -46104912, -133593798, 118598052, -50898252, -1897300, -129364284, -11153440, 50379008, -80870778, 0, -7410190, 0, -15784120, -135421340, -24319260, 112011778, -37384104, 0, 75460314, 18970548, -40852704, 136281666, -73243110, 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166392648, 38693368, 27938200], 'weight': 6, '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], [-1.344170068341648, -0.7760569507936881], [-0.5597841763906979, -0.9695746347817871], [0.7045287817503937, 1.2202796453862867], [-1.305601546896856, 0.7537894045552916], [0.0, 1.7376976041292842], [-0.6011451405952886, -1.0412139262341757], [0.0, -0.634903930859033], [-0.12671664827482387, 0.21947967297683008], [2.3399340273590776, 0.0], [1.0061527969721475, 0.0], [0.7887681276713717, -1.3661864725177906], [-0.4226565281568739, 0.24402086030612377], [0.0, 1.86609145917929], [1.4617101732481552, 0.843918762002037], [0.211807173121006, -0.36686078525311944], [-0.3929881389058391, -0.22689180778561627], [0.34065745154318916, -0.19667867134991215], [0.6680493307829943, -0.38569846095951116], [-1.8396677345733428, -1.0621326617753886], [-0.6730230748388077, 1.1657101602870459], [-1.3524404738681917, -0.7808318716507455], [0.0, 1.3383637080671904], [-0.6155867468841678, 0.3554091740231403], [0.6363969328396422, -1.1022718214592586], [0.7574963391168917, 0.0], [-0.8358324544233476, 0.0], [0.8470481071175354, -1.4671303579826163], [0.0, 1.001406344481513], [-1.3098580423137698, -2.2687406799901537], [0.0, 1.8433577674382071], [-1.1192526578251492, 0.6462008232865539], [-0.5632284147762506, -0.9755402306589435], [0.3521619290203459, 0.6099623535547037], [1.5697120509414733, 0.9062736751612591], [-0.35710210334621917, 0.0], [-0.10415718342879278, -0.9945608483849446], [-1.1972958861522263, 0.0], [0.47319287302089486, 0.2731980326172261], [0.47858385599204445, 0.8289315542604478], [0.42779234837107516, 0.7409580824679072], [1.8093149450031722, -1.0446084705463945], [0.0, -1.2133858466280312], [0.7088636043055383, 1.2277877782935926], [0.0, -0.3820706674012872], [1.0386464583355575, -1.7989884369386566], [1.2749453255399448, 0.0], [-0.4742652158367372, 0.0], [-0.22275096012265838, 0.3858159803671932], [-1.7108514174149538, 0.9877605263879763], [0.0, 0.508041775004271], [-0.5955473777624266, -0.34383943886631274], [-0.5458343099281474, 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-0.3579130806397887, -0.32302150733510016, -0.1958005901889358, -0.3915954287266627, -0.43894527502321606, -0.1981321008946305], 'char_orbit_index': 5, 'conrey_index': 27, 'dual_conrey_index': 11, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 19, 'hecke_orbit': 1, 'hecke_orbit_code': 274978570277, 'label': '37.6.e.a.27.3', 'level': 37, 'weight': 6}
• 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': 1332, 'analytic_conductor': 5.934201333080283, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 6, 'char_parity': 1, 'char_values': [37, 6, [2], [5]], 'conrey_index': 11, 'cusp_dim': 32, 'dim': 32, 'eis_dim': 4, 'eis_new_dim': 4, 'hecke_cutter_primes': [], 'hecke_orbit_code': 274978570277, 'hecke_orbit_dims': [32], 'label': '37.6.e', 'level': 37, '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': [37], 'level_radical': 37, 'mf_dim': 36, 'mf_new_dim': 36, 'num_forms': 1, 'prim_orbit_index': 5, 'relative_dim': 16, 'sturm_bound': 19, 'trace_bound': 0, 'trace_display': [-6, 18, 144, -52], 'traces': [32, -6, 18, 298, 144, 0, -52, 0, -1490, 668, -348, 134, 222, 0, -4134, -6998, -624, 7632, 2154, 4806, -130, -8214, 0, 24642, 15808, 4332, -30384, -9048, 0, 7780, 0, 35088, -924, 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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: 3021127
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 27, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 274978570277, 'source_is_minimal': True, 'source_label': '37.6.e.a.27.3', 'source_level': 37, 'target_conrey_index': 27, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 274978570277, 'target_is_minimal': True, 'target_label': '37.6.e.a.27.3', 'target_level': 37, 'twist_class_label': '37.6.e.a.11.3', 'twist_class_level': 37, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 3021128
    {'conductor': 37, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 27, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 274978570277, 'source_is_minimal': True, 'source_label': '37.6.e.a.27.3', 'source_level': 37, 'target_conrey_index': 11, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 274978570277, 'target_is_minimal': True, 'target_label': '37.6.e.a.11.3', 'target_level': 37, 'twist_class_label': '37.6.e.a.11.3', 'twist_class_level': 37, 'twisting_char_label': '37.11', 'twisting_conrey_index': 11, 'weight': 6}
• hecke_orbit_code 274978570277 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': 5, 'hecke_orbit': 1, 'label': '37.6.e.a', 'level': 37, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30448000
    {'hecke_orbit_code': 274978570277, 'n': 1, 'trace_an': 32}
  • id: 30448001
    {'hecke_orbit_code': 274978570277, 'n': 2, 'trace_an': -6}
  • id: 30448002
    {'hecke_orbit_code': 274978570277, 'n': 3, 'trace_an': 18}
  • id: 30448003
    {'hecke_orbit_code': 274978570277, 'n': 4, 'trace_an': 298}
  • id: 30448004
    {'hecke_orbit_code': 274978570277, 'n': 5, 'trace_an': 144}
  • id: 30448005
    {'hecke_orbit_code': 274978570277, 'n': 6, 'trace_an': 0}
  • id: 30448006
    {'hecke_orbit_code': 274978570277, 'n': 7, 'trace_an': -52}
  • id: 30448007
    {'hecke_orbit_code': 274978570277, 'n': 8, 'trace_an': 0}
  • id: 30448008
    {'hecke_orbit_code': 274978570277, 'n': 9, 'trace_an': -1490}
  • id: 30448009
    {'hecke_orbit_code': 274978570277, 'n': 10, 'trace_an': 668}
  • id: 30448010
    {'hecke_orbit_code': 274978570277, 'n': 11, 'trace_an': -348}
  • id: 30448011
    {'hecke_orbit_code': 274978570277, 'n': 12, 'trace_an': 134}
  • id: 30448012
    {'hecke_orbit_code': 274978570277, 'n': 13, 'trace_an': 222}
  • id: 30448013
    {'hecke_orbit_code': 274978570277, 'n': 14, 'trace_an': 0}
  • id: 30448014
    {'hecke_orbit_code': 274978570277, 'n': 15, 'trace_an': -4134}
  • id: 30448015
    {'hecke_orbit_code': 274978570277, 'n': 16, 'trace_an': -6998}
  • id: 30448016
    {'hecke_orbit_code': 274978570277, 'n': 17, 'trace_an': -624}
  • id: 30448017
    {'hecke_orbit_code': 274978570277, 'n': 18, 'trace_an': 7632}
  • id: 30448018
    {'hecke_orbit_code': 274978570277, 'n': 19, 'trace_an': 2154}
  • id: 30448019
    {'hecke_orbit_code': 274978570277, 'n': 20, 'trace_an': 4806}
  • id: 30448020
    {'hecke_orbit_code': 274978570277, 'n': 21, 'trace_an': -130}
  • id: 30448021
    {'hecke_orbit_code': 274978570277, 'n': 22, 'trace_an': -8214}
  • id: 30448022
    {'hecke_orbit_code': 274978570277, 'n': 23, 'trace_an': 0}
  • id: 30448023
    {'hecke_orbit_code': 274978570277, 'n': 24, 'trace_an': 24642}
  • id: 30448024
    {'hecke_orbit_code': 274978570277, 'n': 25, 'trace_an': 15808}
  • id: 30448025
    {'hecke_orbit_code': 274978570277, 'n': 26, 'trace_an': 4332}
  • id: 30448026
    {'hecke_orbit_code': 274978570277, 'n': 27, 'trace_an': -30384}
  • id: 30448027
    {'hecke_orbit_code': 274978570277, 'n': 28, 'trace_an': -9048}
  • id: 30448028
    {'hecke_orbit_code': 274978570277, 'n': 29, 'trace_an': 0}
  • id: 30448029
    {'hecke_orbit_code': 274978570277, 'n': 30, 'trace_an': 7780}
  • id: 30448030
    {'hecke_orbit_code': 274978570277, 'n': 31, 'trace_an': 0}
  • id: 30448031
    {'hecke_orbit_code': 274978570277, 'n': 32, 'trace_an': 35088}
  • id: 30448032
    {'hecke_orbit_code': 274978570277, 'n': 33, 'trace_an': -924}
  • id: 30448033
    {'hecke_orbit_code': 274978570277, 'n': 34, 'trace_an': -5982}
  • id: 30448034
    {'hecke_orbit_code': 274978570277, 'n': 35, 'trace_an': 27072}
  • id: 30448035
    {'hecke_orbit_code': 274978570277, 'n': 36, 'trace_an': -57468}
  • id: 30448036
    {'hecke_orbit_code': 274978570277, 'n': 37, 'trace_an': -46062}
  • id: 30448037
    {'hecke_orbit_code': 274978570277, 'n': 38, 'trace_an': -48048}
  • id: 30448038
    {'hecke_orbit_code': 274978570277, 'n': 39, 'trace_an': -31896}
  • id: 30448039
    {'hecke_orbit_code': 274978570277, 'n': 40, 'trace_an': 57956}
  • id: 30448040
    {'hecke_orbit_code': 274978570277, 'n': 41, 'trace_an': -11136}
  • id: 30448041
    {'hecke_orbit_code': 274978570277, 'n': 42, 'trace_an': 50886}
  • id: 30448042
    {'hecke_orbit_code': 274978570277, 'n': 43, 'trace_an': 0}
  • id: 30448043
    {'hecke_orbit_code': 274978570277, 'n': 44, 'trace_an': -43686}
  • id: 30448044
    {'hecke_orbit_code': 274978570277, 'n': 45, 'trace_an': 0}
  • id: 30448045
    {'hecke_orbit_code': 274978570277, 'n': 46, 'trace_an': 42866}
  • id: 30448046
    {'hecke_orbit_code': 274978570277, 'n': 47, 'trace_an': 63708}
  • id: 30448047
    {'hecke_orbit_code': 274978570277, 'n': 48, 'trace_an': -39260}
  • id: 30448048
    {'hecke_orbit_code': 274978570277, 'n': 49, 'trace_an': -52426}
  • id: 30448049
    {'hecke_orbit_code': 274978570277, 'n': 50, 'trace_an': -29292}
  • id: 30448050
    {'hecke_orbit_code': 274978570277, 'n': 51, 'trace_an': 0}
  • id: 30448051
    {'hecke_orbit_code': 274978570277, 'n': 52, 'trace_an': 132684}
  • id: 30448052
    {'hecke_orbit_code': 274978570277, 'n': 53, 'trace_an': -85398}
  • id: 30448053
    {'hecke_orbit_code': 274978570277, 'n': 54, 'trace_an': 235314}
  • id: 30448054
    {'hecke_orbit_code': 274978570277, 'n': 55, 'trace_an': -65346}
  • id: 30448055
    {'hecke_orbit_code': 274978570277, 'n': 56, 'trace_an': 121836}
  • id: 30448056
    {'hecke_orbit_code': 274978570277, 'n': 57, 'trace_an': -96270}
  • id: 30448057
    {'hecke_orbit_code': 274978570277, 'n': 58, 'trace_an': -121896}
  • id: 30448058
    {'hecke_orbit_code': 274978570277, 'n': 59, 'trace_an': 40980}
  • id: 30448059
    {'hecke_orbit_code': 274978570277, 'n': 60, 'trace_an': 0}
  • id: 30448060
    {'hecke_orbit_code': 274978570277, 'n': 61, 'trace_an': -74616}
  • id: 30448061
    {'hecke_orbit_code': 274978570277, 'n': 62, 'trace_an': 89346}
  • id: 30448062
    {'hecke_orbit_code': 274978570277, 'n': 63, 'trace_an': 232304}
  • id: 30448063
    {'hecke_orbit_code': 274978570277, 'n': 64, 'trace_an': -321132}
  • id: 30448064
    {'hecke_orbit_code': 274978570277, 'n': 65, 'trace_an': 24066}
  • id: 30448065
    {'hecke_orbit_code': 274978570277, 'n': 66, 'trace_an': 0}
  • id: 30448066
    {'hecke_orbit_code': 274978570277, 'n': 67, 'trace_an': 68018}
  • id: 30448067
    {'hecke_orbit_code': 274978570277, 'n': 68, 'trace_an': 0}
  • id: 30448068
    {'hecke_orbit_code': 274978570277, 'n': 69, 'trace_an': -11052}
  • id: 30448069
    {'hecke_orbit_code': 274978570277, 'n': 70, 'trace_an': -230194}
  • id: 30448070
    {'hecke_orbit_code': 274978570277, 'n': 71, 'trace_an': -32544}
  • id: 30448071
    {'hecke_orbit_code': 274978570277, 'n': 72, 'trace_an': 117876}
  • id: 30448072
    {'hecke_orbit_code': 274978570277, 'n': 73, 'trace_an': -179176}
  • id: 30448073
    {'hecke_orbit_code': 274978570277, 'n': 74, 'trace_an': -89166}
  • id: 30448074
    {'hecke_orbit_code': 274978570277, 'n': 75, 'trace_an': -379288}
  • id: 30448075
    {'hecke_orbit_code': 274978570277, 'n': 76, 'trace_an': 196110}
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