Embedded newform data - 959.6.a.a.1.3

Formats: - HTML - YAML - JSON - 2024-06-15T20:06:01.324506

• 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': 34524, 'analytic_conductor': 153.80808320064844, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, -1], [137, -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': [959, 1, [549, 414], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 74, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_orbit': 1, 'hecke_orbit_code': 100664255, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '959.6.a.a', 'level': 959, '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': True, 'level_primes': [7, 137], 'level_radical': 959, 'minimal_twist': '959.6.a.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 74, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '959.6.a', 'trace_display': [-20, -49, -169, 3626], 'traces': [74, -20, -49, 976, -169, -273, 3626, -747, 4275, -1322, -1446, -1466, -1746, -980, -4313, 9208, -3681, -10234, -2860, -7308, -2401, -13879, -13685, -13424, 18155, -9144, -6865, 47824, -19489, 2307, -33560, -27274, -40132, -35811, -8281, -27689, -70663, -37203, -51201, -86817, -67917, -13377, -104475, -45827, -93598, -137776, -43192, -135425, 177674, -73802, -110795, -107131, -99015, -46226, -71678, -36603, -146490, -143069, -12512, -177875, -125581, -75283, 209475, -8449, -95447, 213311, -282713, 191684, -171171, -64778, -189029, 20181, -96401, -96089, -21522, -276776, -70854, 106155, -454125, 253095, 12226, 107086, -168146, -71834, -329524, 191853, 61244, -505209, -325374, -277645, -85554, -189827, -347054, -125581, 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-728256923, 117152483, -3408524916, -5653503619, 3106688820, 7660446550], '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

  
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-0.4012579322353328, -0.23843441421028305, -0.32094703514294687, -0.3454472559628959, -0.2082528634101898, -0.1725450846552047, -0.1442742700859401, -0.31805847680542587, -0.3403455206785442, -0.1498294478951276, -0.18143884681814834, -0.2195990946042852, -0.3017474145736799, -0.3038773068765513, -0.28026879364670926, -0.12714386701400693, -0.26769933659895473, -0.3382314827663303, -0.2588374067116861, -0.17928015204350456, -0.34881321115887837, -0.19862414707023487, None, -0.16305051493463232, -0.3206348737350141, -0.21626306299384393, -0.2617826610418407, -0.13241062220483338, -0.19906813360945447, -0.36983050491807046, -0.30682753498531634, -0.3404600794072599, -0.073161765939056, -0.2996777955632296, -0.18670409039840766, -0.27897706263308064, -0.1652135289880753, -0.2262343082420475, -0.3844045801385929, -0.2384692220117414, -0.48929118532509414, -0.3741962920440521, -0.32262217025328854, -0.3220189701148908, -0.28419373632964773, -0.23646893572652222, -0.36915127106865075, 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-0.31237388520311204, -0.09467974930533653, -0.3986284977646737, -0.27916707285578046, -0.16881662899296893, -0.20531044607413454, -0.28346761124464415, -0.25148304174227615, -0.1890442419097019, -0.21944845923548256, -0.2530280241224564, -0.21173963136072602, -0.1652122824416662, -0.09618795975409233, -0.29390168406897144, -0.35574314789968364, -0.31359235175292244, -0.0672669124468552, -0.16055236356496572], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'hecke_orbit': 1, 'hecke_orbit_code': 100664255, 'label': '959.6.a.a.1.3', 'level': 959, '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

  
  {'ALdims': [78, 92, 96, 74], 'Nk2': 34524, 'analytic_conductor': 153.80808320064844, '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': [959, 1, [549, 414], [1, 1]], 'conrey_index': 1, 'cusp_dim': 458, 'dim': 340, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_orbit_code': 100664255, 'hecke_orbit_dims': [74, 78, 92, 96], 'label': '959.6.a', 'level': 959, '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': True, 'level_primes': [7, 137], 'level_radical': 959, 'mf_dim': 462, 'mf_new_dim': 340, 'num_forms': 4, 'plus_dim': 152, 'prim_orbit_index': 1, 'relative_dim': 340, 'sturm_bound': 552, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [340, 0, 0, 5440, 0, -228, 0, 852, 27320, 0, 24, 1572, -644, 0, 1892, 87040, 488, -8536, 3796, -5168, -784, -1308, -4104, -6684, 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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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 74, 'source_embedding_index': 3, 'source_hecke_orbit_code': 100664255, 'source_is_minimal': True, 'source_label': '959.6.a.a.1.3', 'source_level': 959, 'target_conrey_index': 1, 'target_dim': 74, 'target_embedding_index': 3, 'target_hecke_orbit_code': 100664255, 'target_is_minimal': True, 'target_label': '959.6.a.a.1.3', 'target_level': 959, 'twist_class_label': '959.6.a.a.1.3', 'twist_class_level': 959, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
• hecke_orbit_code 100664255 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': 1, 'hecke_orbit': 1, 'label': '959.6.a.a', 'level': 959, '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: 3465714
    {'hecke_orbit_code': 100664255, 'n': 1, 'trace_an': 74}
  • id: 3465715
    {'hecke_orbit_code': 100664255, 'n': 2, 'trace_an': -20}
  • id: 3465716
    {'hecke_orbit_code': 100664255, 'n': 3, 'trace_an': -49}
  • id: 3465717
    {'hecke_orbit_code': 100664255, 'n': 4, 'trace_an': 976}
  • id: 3465718
    {'hecke_orbit_code': 100664255, 'n': 5, 'trace_an': -169}
  • id: 3465719
    {'hecke_orbit_code': 100664255, 'n': 6, 'trace_an': -273}
  • id: 3465720
    {'hecke_orbit_code': 100664255, 'n': 7, 'trace_an': 3626}
  • id: 3465721
    {'hecke_orbit_code': 100664255, 'n': 8, 'trace_an': -747}
  • id: 3465722
    {'hecke_orbit_code': 100664255, 'n': 9, 'trace_an': 4275}
  • id: 3465723
    {'hecke_orbit_code': 100664255, 'n': 10, 'trace_an': -1322}
  • id: 3465724
    {'hecke_orbit_code': 100664255, 'n': 11, 'trace_an': -1446}
  • id: 3465725
    {'hecke_orbit_code': 100664255, 'n': 12, 'trace_an': -1466}
  • id: 3465726
    {'hecke_orbit_code': 100664255, 'n': 13, 'trace_an': -1746}
  • id: 3465727
    {'hecke_orbit_code': 100664255, 'n': 14, 'trace_an': -980}
  • id: 3465728
    {'hecke_orbit_code': 100664255, 'n': 15, 'trace_an': -4313}
  • id: 3465729
    {'hecke_orbit_code': 100664255, 'n': 16, 'trace_an': 9208}
  • id: 3465730
    {'hecke_orbit_code': 100664255, 'n': 17, 'trace_an': -3681}
  • id: 3465731
    {'hecke_orbit_code': 100664255, 'n': 18, 'trace_an': -10234}
  • id: 3465732
    {'hecke_orbit_code': 100664255, 'n': 19, 'trace_an': -2860}
  • id: 3465733
    {'hecke_orbit_code': 100664255, 'n': 20, 'trace_an': -7308}
  • id: 3465734
    {'hecke_orbit_code': 100664255, 'n': 21, 'trace_an': -2401}
  • id: 3465735
    {'hecke_orbit_code': 100664255, 'n': 22, 'trace_an': -13879}
  • id: 3465736
    {'hecke_orbit_code': 100664255, 'n': 23, 'trace_an': -13685}
  • id: 3465737
    {'hecke_orbit_code': 100664255, 'n': 24, 'trace_an': -13424}
  • id: 3465738
    {'hecke_orbit_code': 100664255, 'n': 25, 'trace_an': 18155}
  • id: 3465739
    {'hecke_orbit_code': 100664255, 'n': 26, 'trace_an': -9144}
  • id: 3465740
    {'hecke_orbit_code': 100664255, 'n': 27, 'trace_an': -6865}
  • id: 3465741
    {'hecke_orbit_code': 100664255, 'n': 28, 'trace_an': 47824}
  • id: 3465742
    {'hecke_orbit_code': 100664255, 'n': 29, 'trace_an': -19489}
  • id: 3465743
    {'hecke_orbit_code': 100664255, 'n': 30, 'trace_an': 2307}
  • id: 3465744
    {'hecke_orbit_code': 100664255, 'n': 31, 'trace_an': -33560}
  • id: 3465745
    {'hecke_orbit_code': 100664255, 'n': 32, 'trace_an': -27274}
  • id: 3465746
    {'hecke_orbit_code': 100664255, 'n': 33, 'trace_an': -40132}
  • id: 3465747
    {'hecke_orbit_code': 100664255, 'n': 34, 'trace_an': -35811}
  • id: 3465748
    {'hecke_orbit_code': 100664255, 'n': 35, 'trace_an': -8281}
  • id: 3465749
    {'hecke_orbit_code': 100664255, 'n': 36, 'trace_an': -27689}
  • id: 3465750
    {'hecke_orbit_code': 100664255, 'n': 37, 'trace_an': -70663}
  • id: 3465751
    {'hecke_orbit_code': 100664255, 'n': 38, 'trace_an': -37203}
  • id: 3465752
    {'hecke_orbit_code': 100664255, 'n': 39, 'trace_an': -51201}
  • id: 3465753
    {'hecke_orbit_code': 100664255, 'n': 40, 'trace_an': -86817}
  • id: 3465754
    {'hecke_orbit_code': 100664255, 'n': 41, 'trace_an': -67917}
  • id: 3465755
    {'hecke_orbit_code': 100664255, 'n': 42, 'trace_an': -13377}
  • id: 3465756
    {'hecke_orbit_code': 100664255, 'n': 43, 'trace_an': -104475}
  • id: 3465757
    {'hecke_orbit_code': 100664255, 'n': 44, 'trace_an': -45827}
  • id: 3465758
    {'hecke_orbit_code': 100664255, 'n': 45, 'trace_an': -93598}
  • id: 3465759
    {'hecke_orbit_code': 100664255, 'n': 46, 'trace_an': -137776}
  • id: 3465760
    {'hecke_orbit_code': 100664255, 'n': 47, 'trace_an': -43192}
  • id: 3465761
    {'hecke_orbit_code': 100664255, 'n': 48, 'trace_an': -135425}
  • id: 3465762
    {'hecke_orbit_code': 100664255, 'n': 49, 'trace_an': 177674}
  • id: 3465763
    {'hecke_orbit_code': 100664255, 'n': 50, 'trace_an': -73802}
  • id: 3465764
    {'hecke_orbit_code': 100664255, 'n': 51, 'trace_an': -110795}
  • id: 3465765
    {'hecke_orbit_code': 100664255, 'n': 52, 'trace_an': -107131}
  • id: 3465766
    {'hecke_orbit_code': 100664255, 'n': 53, 'trace_an': -99015}
  • id: 3465767
    {'hecke_orbit_code': 100664255, 'n': 54, 'trace_an': -46226}
  • id: 3465768
    {'hecke_orbit_code': 100664255, 'n': 55, 'trace_an': -71678}
  • id: 3465769
    {'hecke_orbit_code': 100664255, 'n': 56, 'trace_an': -36603}
  • id: 3465770
    {'hecke_orbit_code': 100664255, 'n': 57, 'trace_an': -146490}
  • id: 3465771
    {'hecke_orbit_code': 100664255, 'n': 58, 'trace_an': -143069}
  • id: 3465772
    {'hecke_orbit_code': 100664255, 'n': 59, 'trace_an': -12512}
  • id: 3465773
    {'hecke_orbit_code': 100664255, 'n': 60, 'trace_an': -177875}
  • id: 3465774
    {'hecke_orbit_code': 100664255, 'n': 61, 'trace_an': -125581}
  • id: 3465775
    {'hecke_orbit_code': 100664255, 'n': 62, 'trace_an': -75283}
  • id: 3465776
    {'hecke_orbit_code': 100664255, 'n': 63, 'trace_an': 209475}
  • id: 3465777
    {'hecke_orbit_code': 100664255, 'n': 64, 'trace_an': -8449}
  • id: 3465778
    {'hecke_orbit_code': 100664255, 'n': 65, 'trace_an': -95447}
  • id: 3465779
    {'hecke_orbit_code': 100664255, 'n': 66, 'trace_an': 213311}
  • id: 3465780
    {'hecke_orbit_code': 100664255, 'n': 67, 'trace_an': -282713}
  • id: 3465781
    {'hecke_orbit_code': 100664255, 'n': 68, 'trace_an': 191684}
  • id: 3465782
    {'hecke_orbit_code': 100664255, 'n': 69, 'trace_an': -171171}
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